WO2023014899A1 - Normalizing and securely transmitting telematics data - Google Patents

Normalizing and securely transmitting telematics data Download PDF

Info

Publication number
WO2023014899A1
WO2023014899A1 PCT/US2022/039448 US2022039448W WO2023014899A1 WO 2023014899 A1 WO2023014899 A1 WO 2023014899A1 US 2022039448 W US2022039448 W US 2022039448W WO 2023014899 A1 WO2023014899 A1 WO 2023014899A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
telematics data
mobile device
device associated
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US2022/039448
Other languages
French (fr)
Inventor
Shayne O'SULLIVAN
Mahmoud HAIDAR
Vann Walke
Shawn Casey
Stephen SHEAFFER
Matthew Himelfarb
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Vinli Inc
Original Assignee
Vinli Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Vinli Inc filed Critical Vinli Inc
Priority to EP22853920.1A priority Critical patent/EP4381477A4/en
Priority to CA3227889A priority patent/CA3227889A1/en
Publication of WO2023014899A1 publication Critical patent/WO2023014899A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/06Authentication
    • H04W12/069Authentication using certificates or pre-shared keys
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/08Key distribution or management, e.g. generation, sharing or updating, of cryptographic keys or passwords
    • H04L9/0894Escrow, recovery or storing of secret information, e.g. secret key escrow or cryptographic key storage
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3226Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/02Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/06Authentication
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/08Access security
    • H04W12/084Access security using delegated authorisation, e.g. open authorisation [OAuth] protocol
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/30Security of mobile devices; Security of mobile applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/60Context-dependent security
    • H04W12/63Location-dependent; Proximity-dependent
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/008Registering or indicating the working of vehicles communicating information to a remotely located station
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/2866Architectures; Arrangements
    • H04L67/30Profiles
    • H04L67/306User profiles
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services

Definitions

  • the present disclosure generally relates to mobile phones, and more particularly, to the ability of mobile phones to track vehicle (e.g., fleet vehicles) and/or vehicle operator (e.g., fleet vehicle operator) information while ensuring appropriate privacy measures are implemented with regard to surfacing and/or transmitting the tracked information.
  • vehicle e.g., fleet vehicles
  • vehicle operator e.g., fleet vehicle operator
  • Embodiments of the present disclosure may provide systems and methods for normalizing and securely transmitting information, for instance, telematics and other data, tracked and collected by mobile devices.
  • embodiments of the present disclosure may provide a data normalization service capable of normalizing data from any mobile phone in (or from users of) any region for purposes of tracking vehicle information (e.g., for fleet vehicles) and vehicle operator information (e.g., fleet vehicle operator behavior) for purposes of fleet management, insurance services, mobility services, and risk analysis.
  • embodiments of the present disclosure may provide a secure data transmission service capable of ensuring appropriate privacy measures are implemented with regard to surfacing and/or transmitting the tracked information.
  • one or more permissions regarding surfacing and/or transmitting the tracked information may be established based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations). In aspects, one or more permissions regarding surfacing and/or transmitting the tracked information may be established based on the privacy settings of an individual leasing a vehicle. In aspects, one or more permissions may be configured for differing geographical regions to accommodate differing region- specific privacy regulations.
  • the data normalization service and the secure data transmission service may be integrated with a vehicle information system and/or data intelligence platforms, and also may be integrated with back-end systems of third parties, such as customers of the vehicle information system and/or data intelligence platforms.
  • One aspect of the present disclosure relates to a method for securely transmitting information, e.g., telematics and other data associated with vehicles (e.g., fleet vehicles) and/or vehicle operators (e.g., fleet vehicle operators).
  • the method may include receiving telematics data from a mobile device associated with a first user (e.g., a fleet vehicle operator).
  • the method may include normalizing the telematics data.
  • the method may include, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data.
  • the method may include, based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., a fleet manager and/or a fleet management service).
  • a second user e.g., a fleet manager and/or a fleet management service
  • the system may include one or more hardware processors configured by machine-readable instructions.
  • the processor(s) may be configured to receive a user identification token from a mobile device associated with a first user (e.g., a fleet vehicle operator).
  • the processor(s) may be configured to verify an identity of the first user utilizing the user identification token.
  • the processor(s) may be configured to provide a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified.
  • the processor(s) may be configured to, based on providing the positive response token, receive telematics data from the mobile device associated with the first user.
  • the processor(s) may be configured to normalize the telematics data.
  • the processor(s) may be configured to, based on privacy settings derived from the mobile device associated with the first user, receive permission, from the first user, to share the telematics data.
  • the processor(s) may be configured to, based on receiving permission, from the first user, to share the telematics data, transmit at least a portion of the normalized telematics data to a second user (e.g., a fleet manager and/or a fleet management service).
  • a second user e.g., a fleet manager and/or a fleet management service
  • Yet another aspect of the present disclosure relates to a non-transient computer- readable storage medium having instructions embodied thereon, the instructions being executable by one or more processors to perform a method for securely transmitting information e.g., telematics and other data associated with vehicles (e.g., fleet vehicles) and/or vehicle operators (e.g., fleet vehicle operators).
  • the method may include receiving a user identification token from a mobile device associated with a first user (e.g., a fleet vehicle operator).
  • the method may include verifying an identity of the first user utilizing the user identification token.
  • the method may include providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified.
  • the method may include, based on providing the positive response token, receiving telematics data, the user identification token, and a timestamp from the mobile device associated with the first user.
  • the method may include normalizing the received telematics data.
  • the method may include, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data.
  • the method may include, based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., a fleet manager and/or a fleet management service).
  • a second user e.g., a fleet manager and/or a fleet management service
  • Still another aspect of the present disclosure relates to a system configured for securely transmitting information, e.g., telematics and other data associated with vehicles (e.g., fleet vehicles) and/or vehicle operators (e.g., fleet vehicle operators).
  • the system may include means for receiving a user identification token from a mobile device associated with a first user (e.g., a fleet vehicle operator).
  • the system may include means for verifying an identity of the first user utilizing the user identification token.
  • the system may include means for providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified.
  • the system may include means for, based on providing the positive response token, receiving telematics data, the user identification token, and a timestamp from the mobile device associated with the first user.
  • the system may include means for normalizing the received telematics data.
  • the system may include means for, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data.
  • the system may include means for, based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., a fleet manager and/or a fleet management service).
  • a second user e.g., a fleet manager and/or a fleet management service
  • FIG. 1 illustrates a system configured for normalizing and securely transmitting information (for instance, telematics and/or other data, tracked and collected by mobile devices) according to certain aspects of the present disclosure.
  • FIG. 2 depicts a device and region agnostic telematics data normalization service, in accordance with one or more implementations.
  • FIG. 3 depicts a device and region agnostic telematics data normalization service, in accordance with one or more implementations.
  • FIGS. 4A and 4B illustrate exemplary screen displays for ensuring appropriate permissions for transmitting information (e.g., telematics and/or other data, tracked and collected by mobile devices) are received from users (e.g., fleet vehicle operators) prior to information transmission, in accordance with one or more implementations.
  • information e.g., telematics and/or other data, tracked and collected by mobile devices
  • users e.g., fleet vehicle operators
  • FIG. 5 illustrates an exemplary flow diagram for securely transmitting information (for instance, telematics and/or other data, tracked and collected by mobile devices), according to certain aspects of the disclosure.
  • FIG. 6 illustrates an exemplary flow diagram for securely transmitting information (for instance, telematics and/or other data, tracked and collected by mobile devices), according to certain aspects of the disclosure.
  • FIG. 7 illustrates an exemplary flow diagram for securely transmitting information (for instance, telematics and/or other data, tracked and collected by mobile devices), according to certain aspects of the disclosure.
  • FIG. 8 is a block diagram illustrating an exemplary computer system (e.g., representing both client and server) with which aspects of the subject technology can be implemented.
  • not all of the depicted components in each figure may be required, and one or more implementations may include additional components not shown in a figure. Variations in the arrangement and type of the components may be made without departing from the scope of the subject disclosure. Additional components, different components, or fewer components may be utilized within the scope of the subject disclosure.
  • Embodiments of the present disclosure may provide systems and methods for normalizing and securely transmitting information, for instance, telematics and other data, tracked and collected by mobile devices.
  • embodiments of the present disclosure may provide a data normalization service capable of normalizing data from any mobile phone in (or from users of) any region for purposes of tracking vehicle information (e.g., for fleet vehicles) and vehicle operator information (e.g., fleet vehicle operator behavior) for purposes of fleet management, insurance services, mobility services, and risk analysis.
  • embodiments of the present disclosure may provide a secure data transmission service capable of ensuring appropriate privacy measures are implemented with regard to surfacing and/or transmitting the tracked information.
  • one or more permissions regarding surfacing and/or transmitting the tracked information may be established based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations). In aspects, one or more permissions regarding surfacing and/or transmitting the tracked information may be established based on the privacy settings of an individual leasing a vehicle. In aspects, one or more permissions may be configured for differing geographical regions to accommodate differing region- specific privacy regulations.
  • the data normalization service and the secure data transmission service may be integrated with a vehicle information system and/or data intelligence platforms, and also may be integrated with back-end systems of third parties, such as customers of the vehicle information system and/or data intelligence platforms.
  • system 100 configured for normalizing data (for instance, telematics and/or other data, tracked and collected by mobile devices) and securely transmitting such data, according to certain aspects of the present disclosure.
  • system 100 may include one or more computing platforms 110.
  • Computing platform(s) 110 may be configured to communicate with one or more remote platforms 112 according to a client/server architecture, a peer-to-peer architecture, and/or other architectures.
  • Remote platform(s) 112 may be configured to communicate with other remote platforms via computing platform(s) 110 and/or according to a client/server architecture, a peer-to-peer architecture, and/or other architectures. Users may access system 100 via remote platform(s) 112.
  • Computing platform(s) 110 may be configured by machine-readable instructions 114.
  • Machine-readable instructions 114 may include one or more instruction modules.
  • the instruction modules may include computer program modules.
  • the instruction modules may include one or more of user token receiving module 116, user identification verifying module 118, response token providing module 120, data receiving module 122, data normalizing module 124, user permission receiving module 126, data transmitting module 128, timestamp receiving module 130, VIN identifying module 132, and/or other instruction modules.
  • User token receiving module 116 may be configured to receive a user token from a mobile device associated with a first user (e.g., a mobile telephone owned by or otherwise associated with a fleet vehicle operator). In aspects, user token receiving module 116 may be configured to receive the user token from the mobile device associated with the first user prior to receiving data (e.g., telematics and other data, tracked and collected by the mobile device associated with the first user) from the mobile device. In aspects, a user token received by user token receiving module 116 may contain information that may be useful in determining and/or verifying an identify of the first user.
  • User identification verifying module 118 may be configured to verify an identity of the first user. In aspects, user identification verifying module 118 may be configured to verify the identity of the first user utilizing a user identification token (e.g., a user identification token received by the user token receiving module 116).
  • a user identification token e.g., a user identification token received by the user token receiving module 116.
  • Response token providing module 120 may be configured to provide a response token to the mobile device associated with the first user.
  • the response token may be a positive response token indicating that an identity of the first user has been verified (e.g., by user identification verifying module 118).
  • the response token maybe a negative response token indicating that the identity of the first user has not been verified.
  • the response token may be a null response token indicating that the identity of the first user cannot be verified, for instance, based upon a user identification token received by user identification verifying module 118.
  • Data receiving module 122 may be configured to receive data (e.g., telematics and/or other data) from the mobile device associated with the first user.
  • data receiving module 122 may be configured to receive data (e.g., telematics and/or other data) from the mobile device associated with the first user only when the response token providing module 120 has previously provided a positive response token indicating that the identify of the first user has been verified (e.g., by the user identification verifying module 118).
  • telematics data received by data receiving module 122 may include, without limitation, one or more of a vehicle location, vehicle acceleration data, vehicle deceleration data, data regarding sharp turns taken by the vehicle, vehicle travel paths, vehicle navigation, vehicle GPS information, vehicle fuel consumption, vehicle speed, vehicle location history, duration of one or more trips taken by the vehicle, relevant road, weather, traffic, and other mobility information.
  • Data normalizing module 124 may be configured to normalize data (e.g., telematics and/or other data) received, for instance, by the data receiving module 122.
  • data normalizing module 124 may provide a data normalization service capable of normalizing data from any mobile phone or other similar device in any region for purposes of tracking vehicles (e.g., fleet vehicles) and driver behavior (e.g., fleet vehicle driver behavior) for purposes including, but not limited to, fleet management, insurance services, mobility services, and/or risk analysis.
  • the data normalization service according to embodiments of the present disclosure may be integrated with a vehicle information system, such as the vehicle information system described, for example, in Applicant’s commonly owned United States Patent No.
  • mobile phones or other similar devices may be able to track information including, but not limited to, location, acceleration, deceleration, and sharp turns while driving as behavioral components of a fleet vehicle driver. More specifically, having the capability to determine when a mobile phone is taking a trip in a vehicle and/or when the mobile phone owner is driving a vehicle while also normalizing the data inputs from a variety of different mobile device with different operating systems across many regions of the world can be valuable for fleet managers, leasing companies, and/or insurance companies, among other entities, to track, manage, and assess risk with respect to an individual driver using a mobile phone or other similar device having an accelerometer that may be associated with the driver.
  • the data normalization service may ingest and normalize data to provide these types of services with data that they can use.
  • This service also may integrate with a vehicle telematics platform such a provided by Applicant.
  • a secure authorization process may be provided such that a phone may be used to report data on behalf of a specific vehicle identification number (VIN).
  • VIN vehicle identification number
  • FIG. 2 depicts a device and region agnostic mobile telematics data normalization service according to an embodiment of the present disclosure.
  • a multi-regional user base Accordingly, the users may be located in different regions, utilizing different languages, in accordance with embodiments of the present disclosure.
  • the multi-regional user base may be utilizing one or more different types of mobile phone devices.
  • the mobile phone devices may include iOS devices running one or more different versions of the iOS operating system as well as Android operating system running on one or mor different devices including, but not limited to, Samsung, LG, Google, and/or OnePlus.
  • the multi-regional user base depicted in FIG. 2 may access original equipment manufacturer (OEM) data feeds and/or aftermarket telematics device data feeds in embodiments of the present disclosure. While certain data feeds are described herein, it should be appreciated that more or fewer or different data feeds may be provided without departing from the present disclosure. It should be appreciated that data feeding into an API may be manual (i.e., where a user uploads data) and/or automatic (i.e., where data may be continually streamed into the platform from one or more external sources such as a telematics service provider). These data feeds may than feed into a cloud mobility platform, and more specifically, a mobility telematics ingress application programming interface (API) as depicted in FIG.
  • API application programming interface
  • the cloud-based platform may be provided through a cloud computing site, cloud environment, or cloud platform running multiple servers, computers, or virtual machines (e.g., a virtual machine host computer).
  • the platform may be hosted in a cloudbased environment so that it may be shared and used by customers/users of the platform.
  • the mobility telematics ingress API within the cloud mobility platform may interact with portions of the cloud mobility platform that may provide for data authentication and integrity verification.
  • Data authentication and integrity verification may include verifying permission for the one or more applications to consume normalized data, as will be described in more detail herein.
  • Data normalization may then occur, and the normalized data may be stored for use by one or more applications and services.
  • the platform according to embodiments of the present disclosure may answer questions but also identify questions that users may not realize should be asked, thereby providing business solutions through custom business services, custom applications, intelligent mobility ecosystems, and monetization.
  • the platform according to embodiments of the present disclosure may consume all types in all formats including, but not limited to, video, audio, images, text, and/or time series.
  • the datasets may be normalized into a universal data format.
  • the platform according to embodiments of the present disclosure may be seeded with historical data but also take in new data in real time as it is generated.
  • the cloud mobility platform may then be used with one or more applications and services including, but not limited to, fleet management, insurance, electric vehicle management, and/or flexible leasing.
  • fleet management may include, but is not limited to, providing one or more of vehicle location, acceleration, deceleration, sharp turns while driving, fuel consumption, speed, location history, duration of trip, VIN, year, make, and model.
  • Such fleet management application may allow businesses to track and manage their vehicle fleets and may be customizable based on business need.
  • Vehicle and location information may be pulled from enterprise vehicles through mobile devices associated with the vehicles. This information may be used by services and/or applications to allow for enterprise fleet tracking.
  • Insurance providers may utilize stored normalized data that may be used to calculate a driver score that may be used by the insurance providers to provide a driver with a discount or lower rate. The score or data may be used for drivers to improve their driving habits and/or get better insurance rates.
  • FIG. 3 depicts a flow of a device and region agnostic mobile telematics data normalization service according to an embodiment of the present disclosure.
  • the flow begins after login, which may be after signing up or signing in according to embodiments of the present disclosure.
  • a determination may be made as to whether the organization offers TSP.
  • TSP is used within the connected car industry as a term to categorize telematics service providers who play a role in the connected car value chain centered around secure vehicle to cloud data management.
  • TSPs typically offer services to fleet operators, enabling them to monitor their vehicles and drivers. If it is not offered, then nothing is done. If it is offered, a determination may be made as to whether TSP is enabled.
  • TSP may be enabled, a determination may be made as to whether all permissions are authorized, and if they are, then nothing is done. If TSP is not enabled, a determination may be made as to whether the organization may require TSP to be enabled. If so, TSP may then be enabled. If it is not required, an evaluation may be made as to whether a Summary screen has been shown in the past. If not, TSP may be enabled, and if so, nothing is done. Once TSP is enabled, a screen may be shown for phone-based route tracking. It may use the same text as the previous screen depending on whether the organization requires TSP. The screen also may support pull to refresh to recheck permissions.
  • driver behavior or behavior components may include information relate to a driver’s overall risk categorization as to safe driving.
  • Behavior may include driver behavior, the risk based on driving habits including, but not limited to, aggressive inputs, erratic driving, and/or speeding.
  • Behavior also may include vehicle conditions as well as travel patterns, all of which may be determined at least in part based on collection of data from mobile devices or other similar devices that may be normalized and used by one or more applications and services.
  • user permission receiving module 126 may be configured to receive permission, from the first user, to share collected, received, and/or normalized data (e.g., telematics and/or other data) with one or more second users (e.g., fleet managers and/or fleet management services).
  • one or more permissions may be received based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations).
  • one or more permissions may be received based on the privacy settings of an individual leasing a vehicle.
  • one or more received permissions may be configured for differing geographical regions to accommodate differing region- specific privacy regulations.
  • user permission receiving module may be configured to receive permission, from the first user, to share collected, received and/or normalized data (e.g., telematics and/or other data) prior to transmitting the data (or at least a portion thereof) to the second user (e.g., via data transmitting module 128, more fully discussed below).
  • receiving permission, from the first user, to share the normalized telematics data may comprise receiving permission, from the first user, via an application on the mobile device associated with the first user.
  • exemplary displays are illustrated, in accordance with one or more implementations of the present disclosure, that may be shown in association with an application on the mobile device associated with the first user, the exemplary screen displays configured for ensuring appropriate permissions for transmitting information (e.g., telematics and/or other data, tracked and collected by mobile devices) are received from users (e.g., fleet vehicle operators) prior to information transmission.
  • information e.g., telematics and/or other data, tracked and collected by mobile devices
  • FIG. 4A illustrates a landing screen display that illustrates that the user has a single pending journey associated with his/her mobile device.
  • the journey may be uploaded to and/or shared with a second user (e.g., a fleet manager and/or a fleet management service).
  • a second user e.g., a fleet manager and/or a fleet management service.
  • the user may again select to have the journey uploaded to and/or shared with a second user (e.g., a fleet manager and/or a fleet management service).
  • the user also may select to have the journey deleted, in which case the journey data will not be uploaded/shared. If the user takes no action to upload or delete the pending journey, the journey may remain in pending status until the user acts.
  • data transmitting module 128 may be configured to transmit data (e.g., telematics data and/or other data received from a mobile device associated with a first user, e.g., a fleet vehicle operator) to users (e.g., vehicle fleet managers and/or vehicle fleet management systems).
  • data transmitting module 128 may be configured to transmit normalized data to users.
  • data transmitting module 128 may be configured to, based on receiving permission from a first user (e.g., a vehicle driver) to share telematics data, transmit at least a portion of telematics data or normalized telematics data to a second user (e.g., a vehicle fleet manager and/or a vehicle fleet management system).
  • data transmitting module 128 may be configured to transmit data (e.g., telematics and/or other data) to the second user without transmitting a user identification token.
  • data transmitting module 128 may be configured to transmit a Vehicle Identification Number (VIN) to the second user.
  • VIN Vehicle Identification Number
  • Timestamp receiving module 130 may be configured to receive a timestamp associated with the data (e.g., telematics data) from the mobile device associated with the first user.
  • the timestamp may be useful in associating a VIN of a vehicle assigned to (or otherwise associated with) the first user at a time corresponding to the timestamp.
  • VIN identifying module 132 may be configured to identify a vehicle identification number (VIN) for a vehicle associated with one or both of a user identification token (e.g., received by the user token receiving module 116) and a timestamp (e.g., received by the timestamp receiving module 310). Identifying a VIN with a vehicle associated with the first user at a time corresponding to the timestamp permits data (e.g., telematics data) to be associated with the VIN rather than directly with the first user, thus enhancing the user’s privacy regarding transmission of data.
  • VIN vehicle identification number
  • computing platform(s) 110, remote platform(s) 112, and/or external resources 134 may be operatively linked via one or more electronic communication links.
  • electronic communication links may be established, at least in part, via a network such as the Internet and/or other networks. It will be appreciated that this is not intended to be limiting, and that the scope of this disclosure includes implementations in which computing platform(s) 110, remote platform(s) 112, and/or external resources 134 may be operatively linked via some other communication media.
  • a given remote platform 112 may include one or more processors configured to execute computer program modules.
  • the computer program modules may be configured to enable an expert or user associated with the given remote platform 112 to interface with system 100 and/or external resources 134, and/or provide other functionality attributed herein to remote platform(s) 112.
  • a given remote platform 112 and/or a given computing platform 110 may include one or more of a server, a desktop computer, a laptop computer, a handheld computer, a tablet computing platform, a NetBook, a Smartphone, a gaming console, and/or other computing platforms.
  • External resources 134 may include sources of information outside of system 100, external entities participating with system 100, and/or other resources. In some implementations, some or all of the functionality attributed herein to external resources 134 may be provided by resources included in system 100.
  • Computing platform(s) 110 may include electronic storage 136, one or more processors 138, and/or other components. Computing platform(s) 110 may include communication lines, or ports to enable the exchange of information with a network and/or other computing platforms. Illustration of computing platform(s) 110 in FIG. 1 is not intended to be limiting. Computing platform(s) 110 may include a plurality of hardware, software, and/or firmware components operating together to provide the functionality attributed herein to computing platform(s) 110. For example, computing platform(s) 110 may be implemented by a cloud of computing platforms operating together as computing platform(s) 110.
  • Electronic storage 136 may comprise non-transitory storage media that electronically stores information.
  • the electronic storage media of electronic storage 136 may include one or both of system storage that is provided integrally (i.e., substantially nonremovable) with computing platform(s) 110 and/or removable storage that is removably connectable to computing platform(s) 110 via, for example, a port (e.g., a USB port, a firewire port, etc.) or a drive (e.g., a disk drive, etc.).
  • a port e.g., a USB port, a firewire port, etc.
  • a drive e.g., a disk drive, etc.
  • Electronic storage 136 may include one or more of optically readable storage media (e.g., optical disks, etc.), magnetically readable storage media (e.g., magnetic tape, magnetic hard drive, floppy drive, etc.), electrical charge-based storage media (e.g., EEPROM, RAM, etc.), solid-state storage media (e.g., flash drive, etc.), and/or other electronically readable storage media.
  • Electronic storage 136 may include one or more virtual storage resources (e.g., cloud storage, a virtual private network, and/or other virtual storage resources).
  • Electronic storage 136 may store software algorithms, information determined by processor(s) 138, information received from computing platform(s) 110, information received from remote platform(s) 112, and/or other information that enables computing platform(s) 110 to function as described herein.
  • Processor(s) 138 may be configured to provide information processing capabilities in computing platform(s) 110.
  • processor(s) 138 may include one or more of a digital processor, an analog processor, a digital circuit designed to process information, an analog circuit designed to process information, a state machine, and/or other mechanisms for electronically processing information.
  • processor(s) 138 is shown in FIG. 1 as a single entity, this is for illustrative purposes only.
  • processor(s) 138 may include a plurality of processing units. These processing units may be physically located within the same device, or processor(s) 138 may represent processing functionality of a plurality of devices operating in coordination.
  • Processor(s) 138 may be configured to execute modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132, and/or other modules.
  • Processor(s) 138 may be configured to execute modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132, and/or other modules by software; hardware; firmware; some combination of software, hardware, and/or firmware; and/or other mechanisms for configuring processing capabilities on processor(s) 138.
  • the term “module” may refer to any component or set of components that perform the functionality attributed to the module. This may include one or more physical processors during execution of processor readable instructions, the processor readable instructions, circuitry, hardware, storage media, or any other components.
  • modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132 are illustrated in FIG. 1 as being implemented within a single processing unit, in implementations in which processor(s) 138 includes multiple processing units, one or more of modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132 may be implemented remotely from the other modules.
  • modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132 may provide more or less functionality than is described.
  • one or more of modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132 may be eliminated, and some or all of its functionality may be provided by other ones of modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132.
  • processor(s) 138 may be configured to execute one or more additional modules that may perform some or all of the functionality attributed below to one of modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132.
  • the techniques described herein may be implemented as method(s) that are performed by physical computing device(s); as one or more non-transitory computer- readable storage media storing instructions which, when executed by computing device(s), cause performance of the method(s); or as physical computing device(s) that are specially configured with a combination of hardware and software that causes performance of the method(s).
  • FIG. 5 illustrated is an exemplary flow diagram (e.g., process 500) for securely transmitting information, according to certain aspects of the disclosure.
  • process 500 is described herein with reference to FIGS. 1, 2, 3, 4A, and 4B. Further for explanatory purposes, the steps of the exemplary process 500 are described herein as occurring in serial, or linearly. However, multiple instances of the example process 500 may occur in parallel.
  • the process 500 may include receiving telematics data from a mobile device associated with a first user.
  • the received telematics data may include one or more of a location of a vehicle, vehicle acceleration data, vehicle deceleration data, data regarding sharp turns taken by the vehicle, vehicle travel paths, vehicle navigation, vehicle GPS information, vehicle fuel consumption, vehicle speed, vehicle location history, duration of one or more trips taken by the vehicle, relevant road, weather, traffic, and other mobility information.
  • the received data may be specific to the first user (e.g., a fleet vehicle operator).
  • the process 500 may include normalizing the telematics data (i.e., at least a portion of the data received at step 510).
  • normalizing the telematics data may be accomplished in accordance with the data normalization service depicted in FIGS. 2 and/or 3.
  • the process 500 may include receiving permission, from the first user, to share the telematics data.
  • permission may be derived based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations).
  • permission may be derived based on the privacy settings of an individual leasing a vehicle.
  • permission may be configured for differing geographical regions to accommodate differing region- specific privacy regulations.
  • permission may be received from the first user via an application on a mobile device associated with the first user.
  • permission may be received via user interfaces substantially similar to that shown in the exemplary screen displays of FIGS. 4A and 4B.
  • the process 500 may include, based on receiving permission, from the first user, to share the data, transmitting at least a portion of the data (i.e., the normalized telematics data) to a second user (e.g., a vehicle fleet manager and/or fleet management service).
  • a second user e.g., a vehicle fleet manager and/or fleet management service.
  • the process 500 may include receiving telematics data from a mobile device associated with a first user (e.g., through data receiving module 122 of the system 100 of FIG. 1).
  • the process 500 may include normalizing the mobile telematics data (e.g., through data normalizing module 124 of the system 100 of FIG. 1).
  • the process 500 may include, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data (e.g., through user permission receiving module 126 of the system 100 of FIG. 1).
  • the process 500 may include, based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., through data transmitting module 128 of the system 100 of FIG. 1).
  • FIG. 6 illustrates an exemplary flow diagram (e.g., process 600) for securely transmitting information, according to certain aspects of the disclosure.
  • process 600 is described herein with reference to FIGS. 1, 2, 3, 4A, and 4B. Further for explanatory purposes, the steps of the exemplary process 600 are described herein as occurring in serial, or linearly. However, multiple instances of the example process 600 may occur in parallel.
  • the process 600 may include receiving a user identification token from a mobile device associated with a first user.
  • the user identification token may contain information that may be useful in determining and/or verifying an identify of the first user.
  • the process 600 may include verifying an identity of the first user utilizing the user identification token.
  • the process 600 may include providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified.
  • the process 600 may include, based on providing the positive response token, receiving telematics data from the mobile device associated with the first user.
  • the received telematics data may include one or more of a location of a vehicle, vehicle acceleration data, vehicle deceleration data, data regarding sharp turns taken by the vehicle, vehicle travel paths, vehicle navigation, vehicle GPS information, vehicle fuel consumption, vehicle speed, vehicle location history, duration of one or more trips taken by the vehicle, relevant road, weather, traffic, and other mobility information.
  • the received data may be specific to the first user (e.g., a fleet vehicle operator).
  • the process 600 may include normalizing the telematics data (i.e., at least a portion of the data received at step 616).
  • normalizing the telematics data may be accomplished in accordance with the data normalization service depicted in FIGS. 2 and/or 3.
  • the process 600 may include receiving permission, from the first user, to share the telematics data.
  • permission may be derived based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations).
  • permission may be derived based on the privacy settings of an individual leasing a vehicle.
  • permission may be configured for differing geographical regions to accommodate differing region- specific privacy regulations.
  • permission may be received from the first user via an application on a mobile device associated with the first user.
  • permission may be received via user interfaces substantially similar to that shown in the exemplary screen displays of FIGS. 4A and 4B.
  • the process 600 may include, based on receiving permission from the first user, to share the normalized telematics data, transmitting at least a portion of the normalized telematics data to a second user, transmitting at least a portion of the normalized telematics data to a second user (e.g., a vehicle fleet manager and/or fleet management service).
  • a second user e.g., a vehicle fleet manager and/or fleet management service
  • the process 600 may include receiving a user identification token from a mobile device associated with a first user (e.g., through user token receiving module 116 of the system 100 of FIG. 1).
  • the process 600 may include verifying an identity of the first user utilizing the user identification token (e.g., through user ID verifying module 118 of the system 100 of FIG. 1).
  • the process 600 may include providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified (e.g., through response token providing module 120 of the system 100 of FIG. 1).
  • the process 600 may include, based on providing the positive response token, receiving telematics data from the mobile device associated with the first user (e.g., through data receiving module 122 of the system 100 of FIG. 1).
  • the process 600 may include normalizing the telematics data (e.g., through data normalizing module 124 of the system 100 of FIG. 1).
  • the process 600 may include, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data (e.g., through user permission receiving module 126 of the system 100 of FIG. 1).
  • the process 600 may include transmitting at least a portion of the normalized telematics data to a second user (e.g., through data transmitting module 128 of the system 100 of FIG. 1).
  • FIG. 7 illustrates an exemplary flow diagram (e.g., process 700) for securely transmitting information, according to certain aspects of the disclosure.
  • process 700 is described herein with reference to FIGS. 1, 2, 3, 4A, and 4B. Further for explanatory purposes, the steps of the exemplary process 700 are described herein as occurring in serial, or linearly. However, multiple instances of the example process 600 may occur in parallel.
  • the process 700 may include receiving a user identification token from a mobile device associated with a first user.
  • the user identification token may contain information that may be useful in determining and/or verifying an identify of the first user.
  • the process 700 may include verifying an identity of the first user utilizing the user identification token.
  • the process 700 may include providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified.
  • the process 700 may include, based on providing the positive response token, receiving telematics data, the user identification token, and a timestamp from the mobile device associated with the first user.
  • the received telematics data may include one or more of a location of a vehicle, vehicle acceleration data, vehicle deceleration data, data regarding sharp turns taken by the vehicle, vehicle travel paths, vehicle navigation, vehicle GPS information, vehicle fuel consumption, vehicle speed, vehicle location history, duration of one or more trips taken by the vehicle, relevant road, weather, traffic, and other mobility information.
  • the received data may be specific to the first user (e.g., a fleet vehicle operator).
  • the process 700 may include normalizing the received telematics data (i.e., at least a portion of the data received at step 716).
  • normalizing the telematics data may be accomplished in accordance with the data normalization service depicted in FIGS . 2 and/or 3.
  • the process 700 may include receiving permission, from the first user, to share the telematics data.
  • permission may be derived based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations).
  • permission may be derived based on the privacy settings of an individual leasing a vehicle.
  • permission may be configured for differing geographical regions to accommodate differing region- specific privacy regulations.
  • permission may be received from the first user via an application on a mobile device associated with the first user.
  • permission may be received via user interfaces substantially similar to that shown in the exemplary screen displays of FIGS. 4A and 4B.
  • the process 700 may include, based on receiving permission, from the first user, to share the normalized telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., a fleet manager and/or a fleet management service).
  • a second user e.g., a fleet manager and/or a fleet management service
  • the process 700 may include receiving a user identification token from a mobile device associated with a first user (e.g., through user token receiving module 116 of the system 100 of FIG. 1).
  • the process 700 may include verifying an identity of the first user utilizing the user identification token (e.g., through user ID verifying module 118 of the system 100 of FIG. 1).
  • the process 700 may include providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified (e.g., through response token providing module 120 of the system 100 of FIG. 1).
  • the process 700 may include, based on providing the positive response token, receiving telematics data, the user identification token, and a timestamp from the mobile device associated with the first user (e.g., through data receiving module 122, user token receiving module 116, and timestamp receiving module 130 of the system 100 of FIG. 1).
  • the process 700 may include normalizing the received telematics data (e.g., data normalizing module 124 of the system 100 of FIG. 1).
  • the process 700 may include, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data (e.g., through user permission receiving module 126 of the system 100 of FIG. 1).
  • the process may include, based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., through data transmitting module 128 of the system 100 of FIG. 1).
  • FIG. 8 is a block diagram illustrating an exemplary computer system 800 with which aspects of the subject technology can be implemented.
  • the computer system 800 may be implemented using hardware or a combination of software and hardware, either in a dedicated server, integrated into another entity, or distributed across multiple entities.
  • Computer system 800 (e.g., server and/or client) includes a bus 816 or other communication mechanism for communicating information, and a processor 810 coupled with bus 816 for processing information.
  • the computer system 800 may be implemented with one or more processors 810.
  • Processor 810 may be a general-purpose microprocessor, a microcontroller, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a state machine, gated logic, discrete hardware components, or any other suitable entity that can perform calculations or other manipulations of information.
  • DSP Digital Signal Processor
  • ASIC Application Specific Integrated Circuit
  • FPGA Field Programmable Gate Array
  • PLD Programmable Logic Device
  • Computer system 800 can include, in addition to hardware, code that creates an execution environment for the computer program in question, e.g., code that constitutes processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them stored in an included memory 812, such as a Random Access Memory (RAM), a flash memory, a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable PROM (EPROM), registers, a hard disk, a removable disk, a CD-ROM, a DVD, or any other suitable storage device, coupled to bus 816 for storing information and instructions to be executed by processor 810.
  • the processor 810 and the memory 812 can be supplemented by, or incorporated in, special purpose logic circuitry.
  • the instructions may be stored in the memory 812 and implemented in one or more computer program products, i.e., one or more modules of computer program instructions encoded on a computer readable medium for execution by, or to control the operation of, the computer system 800, and according to any method well-known to those of skill in the art, including, but not limited to, computer languages such as data-oriented languages (e.g., SQL, dBase), system languages (e.g., C, Objective-C, C++, Assembly), architectural languages (e.g., Java, .NET), and application languages (e.g., PHP, Ruby, Perl, Python).
  • data-oriented languages e.g., SQL, dBase
  • system languages e.g., C, Objective-C, C++, Assembly
  • architectural languages e.g., Java, .NET
  • application languages e.g., PHP, Ruby, Perl, Python.
  • Instructions may also be implemented in computer languages such as array languages, aspect-oriented languages, assembly languages, authoring languages, command line interface languages, compiled languages, concurrent languages, curly-bracket languages, dataflow languages, data-structured languages, declarative languages, esoteric languages, extension languages, fourth-generation languages, functional languages, interactive mode languages, interpreted languages, iterative languages, list-based languages, little languages, logic-based languages, machine languages, macro languages, metaprogramming languages, multiparadigm languages, numerical analysis, non-English- based languages, object-oriented class-based languages, object-oriented prototype-based languages, off-side rule languages, procedural languages, reflective languages, rule-based languages, scripting languages, stack-based languages, synchronous languages, syntax handling languages, visual languages, wirth languages, and xml-based languages.
  • Memory 812 may also be used for storing temporary variable or other intermediate information during execution of instructions to be executed by processor 810.
  • a computer program as discussed herein does not necessarily correspond to a file in a file system.
  • a program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, subprograms, or portions of code).
  • a computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.
  • the processes and logic flows described in this specification can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output.
  • Computer system 800 further includes a data storage device 814 such as a magnetic disk or optical disk, coupled to bus 816 for storing information and instructions.
  • Computer system 800 may be coupled via input/output module 818 to various devices.
  • the input/output module 818 can be any input/output module.
  • Exemplary input/output modules 818 include data ports such as USB ports.
  • the input/output module 818 is configured to connect to a communications module 820.
  • Exemplary communications modules 820 include networking interface cards, such as Ethernet cards and modems.
  • the input/output module 818 is configured to connect to a plurality of devices, such as an input device 822 and/or an output device 824.
  • Exemplary input devices 822 include a keyboard and a pointing device, e.g., a mouse or a trackball, by which a user can provide input to the computer system 800.
  • Other kinds of input devices 822 can be used to provide for interaction with a user as well, such as a tactile input device, visual input device, audio input device, or brain-computer interface device.
  • feedback provided to the user can be any form of sensory feedback, e.g., visual feedback, auditory feedback, or tactile feedback, and input from the user can be received in any form, including acoustic, speech, tactile, or brain wave input.
  • Exemplary output devices 824 include display devices such as an LCD (liquid crystal display) monitor, for displaying information to the user.
  • the above-described systems can be implemented using a computer system 800 in response to processor 810 executing one or more sequences of one or more instructions contained in memory 812. Such instructions may be read into memory 812 from another machine-readable medium, such as data storage device 814. Execution of the sequences of instructions contained in the main memory 812 causes processor 810 to perform the process steps described herein. One or more processors in a multi-processing arrangement may also be employed to execute the sequences of instructions contained in memory 812. In alternative aspects, hard-wired circuitry may be used in place of or in combination with software instructions to implement various aspects of the present disclosure. Thus, aspects of the present disclosure are not limited to any specific combination of hardware circuitry and software.
  • a computing system that includes a back end component, e.g., such as a data server, or that includes a middleware component, e.g., an application server, or that includes a front end component, e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the subject matter described in this specification, or any combination of one or more such back end, middleware, or front end components.
  • the components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network.
  • the communication network can include, for example, any one or more of a LAN, a WAN, the Internet, and the like. Further, the communication network can include, but is not limited to, for example, any one or more of the following network topologies, including a bus network, a star network, a ring network, a mesh network, a star-bus network, tree or hierarchical network, or the like.
  • the communications modules can be, for example, modems or Ethernet cards.
  • Computer system 800 can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client- server relationship to each other.
  • Computer system 800 can be, for example, and without limitation, a desktop computer, laptop computer, or tablet computer. Computer system 800 can also be embedded in another device, for example, and without limitation, a mobile telephone, a PDA, a mobile audio player, a Global Positioning System (GPS) receiver, a video game console, and/or a television set top box.
  • a mobile telephone for example, and without limitation, a PDA, a mobile audio player, a Global Positioning System (GPS) receiver, a video game console, and/or a television set top box.
  • GPS Global Positioning System
  • machine-readable storage medium or “computer readable medium” as used herein refers to any medium or media that participates in providing instructions to processor 810 for execution. Such a medium may take many forms, including, but not limited to, non-volatile media, volatile media, and transmission media.
  • Non-volatile media include, for example, optical or magnetic disks, such as data storage device 814.
  • Volatile media include dynamic memory, such as memory 812.
  • Transmission media include coaxial cables, copper wire, and fiber optics, including the wires that comprise bus 816.
  • machine-readable media include, for example, floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, DVD, any other optical medium, punch cards, paper tape, any other physical medium with patterns of holes, a RAM, a PROM, an EPROM, a FLASH EPROM, any other memory chip or cartridge, or any other medium from which a computer can read.
  • the machine-readable storage medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter effecting a machine-readable propagated signal, or a combination of one or more of them.
  • information may be read from the data and stored in a memory device, such as the memory 812. Additionally, data from the memory 812 servers accessed via a network the bus 816, or the data storage 814 may be read and loaded into the memory 812. Although data is described as being found in the memory 812, it will be understood that data does not have to be stored in the memory 812 and may be stored in other memory accessible to the processor 810 or distributed among several media, such as the data storage 814.
  • the phrase “at least one of’ preceding a series of items, with the terms “and” or “or” to separate any of the items, modifies the list as a whole, rather than each member of the list (i.e., each item).
  • the phrase “at least one of’ does not require selection of at least one item; rather, the phrase allows a meaning that includes at least one of any one of the items, and/or at least one of any combination of the items, and/or at least one of each of the items.
  • phrases “at least one of A, B, and C” or “at least one of A, B, or C” each refer to only A, only B, or only C; any combination of A, B, and C; and/or at least one of each of A, B, and C.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Telephonic Communication Services (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Methods, systems, and storage media for securely transmitting information are disclosed. Exemplary implementations may: receive a user identification token from a mobile device associated with a first user; verify an identity of the first user utilizing the user identification token; provide a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified; based on providing the positive response token, receive telematics data, the user identification token, and a timestamp from the mobile device associated with the first user; normalize the received telematics data; based on privacy settings derived from the mobile device associated with the first user, receive permission, from the first user, to share the normalized telematics data; and based on receiving permission, from the first user, to share the normalized telematics data, transmitting at least a portion of the normalized telematics data to a second user.

Description

NORMALIZING AND SECURELY TRANSMITTING TELEMATICS DATA
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This present application claims the benefit of priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 63/229,935, filed August 5, 2021, and entitled “Device and Region Agnostic Mobile Telematics Data Normalization Service,” the disclosure of which is hereby incorporated by reference in its entirety for all purposes.
TECHNICAL FIELD
[0002] The present disclosure generally relates to mobile phones, and more particularly, to the ability of mobile phones to track vehicle (e.g., fleet vehicles) and/or vehicle operator (e.g., fleet vehicle operator) information while ensuring appropriate privacy measures are implemented with regard to surfacing and/or transmitting the tracked information.
BACKGROUND
[0003] Recent advances in mobile device and data collection technologies have resulted in mobile devices that are capable of collecting information regarding actions taken by vehicles in which the mobile devices may be traveling. Determining when a mobile phone is taking a trip in a vehicle and/or when a user associated with the mobile phone is driving a vehicle, however, can be difficult. Further, making these determinations while also normalizing the data inputs from a variety of different mobile devices with different operating systems across many regions of the world can further increase this difficulty.
Additionally, while collecting such information is one thing, to whom such information may be surfaced and transmitted is another issue altogether, one for which privacy concerns are particularly relevant.
BRIEF SUMMARY
[0004] Embodiments of the present disclosure may provide systems and methods for normalizing and securely transmitting information, for instance, telematics and other data, tracked and collected by mobile devices. In this regard, embodiments of the present disclosure may provide a data normalization service capable of normalizing data from any mobile phone in (or from users of) any region for purposes of tracking vehicle information (e.g., for fleet vehicles) and vehicle operator information (e.g., fleet vehicle operator behavior) for purposes of fleet management, insurance services, mobility services, and risk analysis. Further, embodiments of the present disclosure may provide a secure data transmission service capable of ensuring appropriate privacy measures are implemented with regard to surfacing and/or transmitting the tracked information. In aspects, one or more permissions regarding surfacing and/or transmitting the tracked information may be established based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations). In aspects, one or more permissions regarding surfacing and/or transmitting the tracked information may be established based on the privacy settings of an individual leasing a vehicle. In aspects, one or more permissions may be configured for differing geographical regions to accommodate differing region- specific privacy regulations. The data normalization service and the secure data transmission service according to embodiments of the present disclosure may be integrated with a vehicle information system and/or data intelligence platforms, and also may be integrated with back-end systems of third parties, such as customers of the vehicle information system and/or data intelligence platforms.
[0005] One aspect of the present disclosure relates to a method for securely transmitting information, e.g., telematics and other data associated with vehicles (e.g., fleet vehicles) and/or vehicle operators (e.g., fleet vehicle operators). The method may include receiving telematics data from a mobile device associated with a first user (e.g., a fleet vehicle operator). The method may include normalizing the telematics data. The method may include, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data. The method may include, based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., a fleet manager and/or a fleet management service).
[0006] Another aspect of the present disclosure relates to a system configured for securely transmitting information, e.g., telematics and other data associated with vehicles (e.g., fleet vehicles) and/or vehicle operators (e.g., fleet vehicle operators). The system may include one or more hardware processors configured by machine-readable instructions. The processor(s) may be configured to receive a user identification token from a mobile device associated with a first user (e.g., a fleet vehicle operator). The processor(s) may be configured to verify an identity of the first user utilizing the user identification token. The processor(s) may be configured to provide a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified. The processor(s) may be configured to, based on providing the positive response token, receive telematics data from the mobile device associated with the first user. The processor(s) may be configured to normalize the telematics data. The processor(s) may be configured to, based on privacy settings derived from the mobile device associated with the first user, receive permission, from the first user, to share the telematics data. The processor(s) may be configured to, based on receiving permission, from the first user, to share the telematics data, transmit at least a portion of the normalized telematics data to a second user (e.g., a fleet manager and/or a fleet management service).
[0007] Yet another aspect of the present disclosure relates to a non-transient computer- readable storage medium having instructions embodied thereon, the instructions being executable by one or more processors to perform a method for securely transmitting information e.g., telematics and other data associated with vehicles (e.g., fleet vehicles) and/or vehicle operators (e.g., fleet vehicle operators). The method may include receiving a user identification token from a mobile device associated with a first user (e.g., a fleet vehicle operator). The method may include verifying an identity of the first user utilizing the user identification token. The method may include providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified. The method may include, based on providing the positive response token, receiving telematics data, the user identification token, and a timestamp from the mobile device associated with the first user. The method may include normalizing the received telematics data. The method may include, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data. The method may include, based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., a fleet manager and/or a fleet management service).
[0008] Still another aspect of the present disclosure relates to a system configured for securely transmitting information, e.g., telematics and other data associated with vehicles (e.g., fleet vehicles) and/or vehicle operators (e.g., fleet vehicle operators). The system may include means for receiving a user identification token from a mobile device associated with a first user (e.g., a fleet vehicle operator). The system may include means for verifying an identity of the first user utilizing the user identification token. The system may include means for providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified. The system may include means for, based on providing the positive response token, receiving telematics data, the user identification token, and a timestamp from the mobile device associated with the first user. The system may include means for normalizing the received telematics data. The system may include means for, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data. The system may include means for, based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., a fleet manager and/or a fleet management service).
BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS
[0009] To easily identify the discussion of any particular element or act, the most significant digit or digits in a reference number refer to the figure number in which that element is first introduced.
[0010] FIG. 1 illustrates a system configured for normalizing and securely transmitting information (for instance, telematics and/or other data, tracked and collected by mobile devices) according to certain aspects of the present disclosure.
[0011] FIG. 2 depicts a device and region agnostic telematics data normalization service, in accordance with one or more implementations.
[0012] FIG. 3 depicts a device and region agnostic telematics data normalization service, in accordance with one or more implementations.
[0013] FIGS. 4A and 4B illustrate exemplary screen displays for ensuring appropriate permissions for transmitting information (e.g., telematics and/or other data, tracked and collected by mobile devices) are received from users (e.g., fleet vehicle operators) prior to information transmission, in accordance with one or more implementations.
[0014] FIG. 5 illustrates an exemplary flow diagram for securely transmitting information (for instance, telematics and/or other data, tracked and collected by mobile devices), according to certain aspects of the disclosure. [0015] FIG. 6 illustrates an exemplary flow diagram for securely transmitting information (for instance, telematics and/or other data, tracked and collected by mobile devices), according to certain aspects of the disclosure.
[0016] FIG. 7 illustrates an exemplary flow diagram for securely transmitting information (for instance, telematics and/or other data, tracked and collected by mobile devices), according to certain aspects of the disclosure.
[0017] FIG. 8 is a block diagram illustrating an exemplary computer system (e.g., representing both client and server) with which aspects of the subject technology can be implemented.
[0018] In one or more implementations, not all of the depicted components in each figure may be required, and one or more implementations may include additional components not shown in a figure. Variations in the arrangement and type of the components may be made without departing from the scope of the subject disclosure. Additional components, different components, or fewer components may be utilized within the scope of the subject disclosure.
DETAILED DESCRIPTION
[0019] In the following detailed description, numerous specific details are set forth to provide a full understanding of the present disclosure. It will be apparent, however, to one ordinarily skilled in the art that the embodiments of the present disclosure may be practiced without some of these specific details. In other instances, well-known structures and techniques have not been shown in detail so as not to obscure the disclosure.
[0020] As previously set forth, recent advances in mobile device and data collection technologies have resulted in mobile devices that are capable of collecting information regarding actions taken by vehicles in which the mobile devices may be traveling. Determining when a mobile phone is taking a trip in a vehicle and/or when a user associated with the mobile phone is driving a vehicle, however, can be difficult. Further, making these determinations while also normalizing the data inputs from a variety of different mobile devices with different operating systems across many regions of the world can further increase this difficulty. Additionally, while collecting such information is one thing, to whom such information may be surfaced and transmitted is another issue altogether, one for which privacy concerns are particularly relevant.
[0021] Embodiments of the present disclosure may provide systems and methods for normalizing and securely transmitting information, for instance, telematics and other data, tracked and collected by mobile devices. In this regard, embodiments of the present disclosure may provide a data normalization service capable of normalizing data from any mobile phone in (or from users of) any region for purposes of tracking vehicle information (e.g., for fleet vehicles) and vehicle operator information (e.g., fleet vehicle operator behavior) for purposes of fleet management, insurance services, mobility services, and risk analysis. Further, embodiments of the present disclosure may provide a secure data transmission service capable of ensuring appropriate privacy measures are implemented with regard to surfacing and/or transmitting the tracked information. In aspects, one or more permissions regarding surfacing and/or transmitting the tracked information may be established based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations). In aspects, one or more permissions regarding surfacing and/or transmitting the tracked information may be established based on the privacy settings of an individual leasing a vehicle. In aspects, one or more permissions may be configured for differing geographical regions to accommodate differing region- specific privacy regulations. The data normalization service and the secure data transmission service according to embodiments of the present disclosure may be integrated with a vehicle information system and/or data intelligence platforms, and also may be integrated with back-end systems of third parties, such as customers of the vehicle information system and/or data intelligence platforms.
[0022] With reference to FIG. 1, illustrated is a system 100 configured for normalizing data (for instance, telematics and/or other data, tracked and collected by mobile devices) and securely transmitting such data, according to certain aspects of the present disclosure. In some implementations, system 100 may include one or more computing platforms 110. Computing platform(s) 110 may be configured to communicate with one or more remote platforms 112 according to a client/server architecture, a peer-to-peer architecture, and/or other architectures. Remote platform(s) 112 may be configured to communicate with other remote platforms via computing platform(s) 110 and/or according to a client/server architecture, a peer-to-peer architecture, and/or other architectures. Users may access system 100 via remote platform(s) 112.
[0023] Computing platform(s) 110 may be configured by machine-readable instructions 114. Machine-readable instructions 114 may include one or more instruction modules. The instruction modules may include computer program modules. The instruction modules may include one or more of user token receiving module 116, user identification verifying module 118, response token providing module 120, data receiving module 122, data normalizing module 124, user permission receiving module 126, data transmitting module 128, timestamp receiving module 130, VIN identifying module 132, and/or other instruction modules.
[0024] User token receiving module 116 may be configured to receive a user token from a mobile device associated with a first user (e.g., a mobile telephone owned by or otherwise associated with a fleet vehicle operator). In aspects, user token receiving module 116 may be configured to receive the user token from the mobile device associated with the first user prior to receiving data (e.g., telematics and other data, tracked and collected by the mobile device associated with the first user) from the mobile device. In aspects, a user token received by user token receiving module 116 may contain information that may be useful in determining and/or verifying an identify of the first user.
[0025] User identification verifying module 118 may be configured to verify an identity of the first user. In aspects, user identification verifying module 118 may be configured to verify the identity of the first user utilizing a user identification token (e.g., a user identification token received by the user token receiving module 116).
[0026] Response token providing module 120 may be configured to provide a response token to the mobile device associated with the first user. In aspects, the response token may be a positive response token indicating that an identity of the first user has been verified (e.g., by user identification verifying module 118). In aspects, the response token maybe a negative response token indicating that the identity of the first user has not been verified. In aspects, the response token may be a null response token indicating that the identity of the first user cannot be verified, for instance, based upon a user identification token received by user identification verifying module 118. [0027] Data receiving module 122 may be configured to receive data (e.g., telematics and/or other data) from the mobile device associated with the first user. In aspects, data receiving module 122 may be configured to receive data (e.g., telematics and/or other data) from the mobile device associated with the first user only when the response token providing module 120 has previously provided a positive response token indicating that the identify of the first user has been verified (e.g., by the user identification verifying module 118). In aspects, telematics data received by data receiving module 122 may include, without limitation, one or more of a vehicle location, vehicle acceleration data, vehicle deceleration data, data regarding sharp turns taken by the vehicle, vehicle travel paths, vehicle navigation, vehicle GPS information, vehicle fuel consumption, vehicle speed, vehicle location history, duration of one or more trips taken by the vehicle, relevant road, weather, traffic, and other mobility information.
[0028] Data normalizing module 124 may be configured to normalize data (e.g., telematics and/or other data) received, for instance, by the data receiving module 122. In this regard, data normalizing module 124 may provide a data normalization service capable of normalizing data from any mobile phone or other similar device in any region for purposes of tracking vehicles (e.g., fleet vehicles) and driver behavior (e.g., fleet vehicle driver behavior) for purposes including, but not limited to, fleet management, insurance services, mobility services, and/or risk analysis. The data normalization service according to embodiments of the present disclosure may be integrated with a vehicle information system, such as the vehicle information system described, for example, in Applicant’s commonly owned United States Patent No. 9,990,781, which is incorporated by reference herein in its entirety, and/or data intelligence platforms, such as Applicant’s data intelligence platforms, and/or may be integrated with back-end system of one or more third parties, such as customers of the vehicle information system and/or data intelligence platforms.
[0029] Using a data normalization service according to embodiments of the present disclosure, mobile phones or other similar devices may be able to track information including, but not limited to, location, acceleration, deceleration, and sharp turns while driving as behavioral components of a fleet vehicle driver. More specifically, having the capability to determine when a mobile phone is taking a trip in a vehicle and/or when the mobile phone owner is driving a vehicle while also normalizing the data inputs from a variety of different mobile device with different operating systems across many regions of the world can be valuable for fleet managers, leasing companies, and/or insurance companies, among other entities, to track, manage, and assess risk with respect to an individual driver using a mobile phone or other similar device having an accelerometer that may be associated with the driver. The data normalization service according to embodiments of the present disclosure may ingest and normalize data to provide these types of services with data that they can use. This service also may integrate with a vehicle telematics platform such a provided by Applicant. In some embodiments of the present disclosure, a secure authorization process may be provided such that a phone may be used to report data on behalf of a specific vehicle identification number (VIN).
[0030] FIG. 2 depicts a device and region agnostic mobile telematics data normalization service according to an embodiment of the present disclosure. As set forth in FIG. 2, there may be a multi-regional user base. Accordingly, the users may be located in different regions, utilizing different languages, in accordance with embodiments of the present disclosure. The multi-regional user base may be utilizing one or more different types of mobile phone devices. As depicted herein, the mobile phone devices may include iOS devices running one or more different versions of the iOS operating system as well as Android operating system running on one or mor different devices including, but not limited to, Samsung, LG, Google, and/or OnePlus. While different platforms, operating systems, and/or devices have been depicted herein, it should be appreciated that more or fewer platforms, operating systems, and/or devices may be provided for use as part of the mobile telematics data normalization service without departing from the present disclosure, particularly as the service is device-agnostic.
[0031] The multi-regional user base depicted in FIG. 2 may access original equipment manufacturer (OEM) data feeds and/or aftermarket telematics device data feeds in embodiments of the present disclosure. While certain data feeds are described herein, it should be appreciated that more or fewer or different data feeds may be provided without departing from the present disclosure. It should be appreciated that data feeding into an API may be manual (i.e., where a user uploads data) and/or automatic (i.e., where data may be continually streamed into the platform from one or more external sources such as a telematics service provider). These data feeds may than feed into a cloud mobility platform, and more specifically, a mobility telematics ingress application programming interface (API) as depicted in FIG. 2. When referring to a cloud-based platform, it should be appreciated the cloud-based platform may be provided through a cloud computing site, cloud environment, or cloud platform running multiple servers, computers, or virtual machines (e.g., a virtual machine host computer). The platform may be hosted in a cloudbased environment so that it may be shared and used by customers/users of the platform.
[0032] The mobility telematics ingress API within the cloud mobility platform may interact with portions of the cloud mobility platform that may provide for data authentication and integrity verification. Data authentication and integrity verification may include verifying permission for the one or more applications to consume normalized data, as will be described in more detail herein.
[0033] Data normalization may then occur, and the normalized data may be stored for use by one or more applications and services. By normalizing and processing the data, the platform according to embodiments of the present disclosure may answer questions but also identify questions that users may not realize should be asked, thereby providing business solutions through custom business services, custom applications, intelligent mobility ecosystems, and monetization. It should be appreciated that the platform according to embodiments of the present disclosure may consume all types in all formats including, but not limited to, video, audio, images, text, and/or time series. The datasets may be normalized into a universal data format. The platform according to embodiments of the present disclosure may be seeded with historical data but also take in new data in real time as it is generated.
[0034] The cloud mobility platform may then be used with one or more applications and services including, but not limited to, fleet management, insurance, electric vehicle management, and/or flexible leasing. It should be appreciated that fleet management may include, but is not limited to, providing one or more of vehicle location, acceleration, deceleration, sharp turns while driving, fuel consumption, speed, location history, duration of trip, VIN, year, make, and model. Such fleet management application may allow businesses to track and manage their vehicle fleets and may be customizable based on business need. Vehicle and location information may be pulled from enterprise vehicles through mobile devices associated with the vehicles. This information may be used by services and/or applications to allow for enterprise fleet tracking. Insurance providers may utilize stored normalized data that may be used to calculate a driver score that may be used by the insurance providers to provide a driver with a discount or lower rate. The score or data may be used for drivers to improve their driving habits and/or get better insurance rates.
[0035] While certain applications and services are depicted/described herein, it should be appreciated that more or fewer applications or services may be provided as part of the mobile telematics data normalization service without departing from the present disclosure. These applications and services may be accessed by, and information may be exchanged with, the multi-regional user base and/or the cloud mobility platform in embodiments of the present disclosure. It should be appreciated that the one or more applications may consume the normalized data and access one or more services without regard from which of the plurality of devices the normalized data originated.
[0036] FIG. 3 depicts a flow of a device and region agnostic mobile telematics data normalization service according to an embodiment of the present disclosure. The flow begins after login, which may be after signing up or signing in according to embodiments of the present disclosure. After login, a determination may be made as to whether the organization offers TSP. The term “TSP” is used within the connected car industry as a term to categorize telematics service providers who play a role in the connected car value chain centered around secure vehicle to cloud data management. TSPs typically offer services to fleet operators, enabling them to monitor their vehicles and drivers. If it is not offered, then nothing is done. If it is offered, a determination may be made as to whether TSP is enabled. If it is enabled, a determination may be made as to whether all permissions are authorized, and if they are, then nothing is done. If TSP is not enabled, a determination may be made as to whether the organization may require TSP to be enabled. If so, TSP may then be enabled. If it is not required, an evaluation may be made as to whether a Summary screen has been shown in the past. If not, TSP may be enabled, and if so, nothing is done. Once TSP is enabled, a screen may be shown for phone-based route tracking. It may use the same text as the previous screen depending on whether the organization requires TSP. The screen also may support pull to refresh to recheck permissions.
[0037] When driver behavior or behavior components are referenced herein, it should be appreciated that this may include information relate to a driver’s overall risk categorization as to safe driving. Behavior may include driver behavior, the risk based on driving habits including, but not limited to, aggressive inputs, erratic driving, and/or speeding. Behavior also may include vehicle conditions as well as travel patterns, all of which may be determined at least in part based on collection of data from mobile devices or other similar devices that may be normalized and used by one or more applications and services.
[0038] Returning now to FIG. 1, user permission receiving module 126 may be configured to receive permission, from the first user, to share collected, received, and/or normalized data (e.g., telematics and/or other data) with one or more second users (e.g., fleet managers and/or fleet management services). In aspects, one or more permissions may be received based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations). In aspects, one or more permissions may be received based on the privacy settings of an individual leasing a vehicle. In aspects, one or more received permissions may be configured for differing geographical regions to accommodate differing region- specific privacy regulations. In aspects, user permission receiving module may be configured to receive permission, from the first user, to share collected, received and/or normalized data (e.g., telematics and/or other data) prior to transmitting the data (or at least a portion thereof) to the second user (e.g., via data transmitting module 128, more fully discussed below). In aspects, receiving permission, from the first user, to share the normalized telematics data may comprise receiving permission, from the first user, via an application on the mobile device associated with the first user.
[0039] With reference to FIGS. 4A and 4B, exemplary displays are illustrated, in accordance with one or more implementations of the present disclosure, that may be shown in association with an application on the mobile device associated with the first user, the exemplary screen displays configured for ensuring appropriate permissions for transmitting information (e.g., telematics and/or other data, tracked and collected by mobile devices) are received from users (e.g., fleet vehicle operators) prior to information transmission.
[0040] FIG. 4A illustrates a landing screen display that illustrates that the user has a single pending journey associated with his/her mobile device. Should the user select “Upload Journeys” from illustrated screen display, the journey may be uploaded to and/or shared with a second user (e.g., a fleet manager and/or a fleet management service). If, however, the user desires more information prior to deciding whether to give upload/share permission, he/she may click on the “Journeys” button and be directed to the exemplary screen display of FIG. 4B where additional details regarding the pending journey is displayed. From here, the user may again select to have the journey uploaded to and/or shared with a second user (e.g., a fleet manager and/or a fleet management service). From the screen display of FIG. 4B, the user also may select to have the journey deleted, in which case the journey data will not be uploaded/shared. If the user takes no action to upload or delete the pending journey, the journey may remain in pending status until the user acts.
[0041] Returning back to FIG. 1, data transmitting module 128 may be configured to transmit data (e.g., telematics data and/or other data received from a mobile device associated with a first user, e.g., a fleet vehicle operator) to users (e.g., vehicle fleet managers and/or vehicle fleet management systems). In aspects, data transmitting module 128 may be configured to transmit normalized data to users. In aspects, data transmitting module 128 may be configured to, based on receiving permission from a first user (e.g., a vehicle driver) to share telematics data, transmit at least a portion of telematics data or normalized telematics data to a second user (e.g., a vehicle fleet manager and/or a vehicle fleet management system). In aspects, data transmitting module 128 may be configured to transmit data (e.g., telematics and/or other data) to the second user without transmitting a user identification token. In aspects, data transmitting module 128 may be configured to transmit a Vehicle Identification Number (VIN) to the second user.
[0042] Timestamp receiving module 130 may be configured to receive a timestamp associated with the data (e.g., telematics data) from the mobile device associated with the first user. In aspects, the timestamp may be useful in associating a VIN of a vehicle assigned to (or otherwise associated with) the first user at a time corresponding to the timestamp.
[0043] VIN identifying module 132 may be configured to identify a vehicle identification number (VIN) for a vehicle associated with one or both of a user identification token (e.g., received by the user token receiving module 116) and a timestamp (e.g., received by the timestamp receiving module 310). Identifying a VIN with a vehicle associated with the first user at a time corresponding to the timestamp permits data (e.g., telematics data) to be associated with the VIN rather than directly with the first user, thus enhancing the user’s privacy regarding transmission of data.
[0044] In some implementations, computing platform(s) 110, remote platform(s) 112, and/or external resources 134 may be operatively linked via one or more electronic communication links. For example, such electronic communication links may be established, at least in part, via a network such as the Internet and/or other networks. It will be appreciated that this is not intended to be limiting, and that the scope of this disclosure includes implementations in which computing platform(s) 110, remote platform(s) 112, and/or external resources 134 may be operatively linked via some other communication media.
[0045] A given remote platform 112 may include one or more processors configured to execute computer program modules. The computer program modules may be configured to enable an expert or user associated with the given remote platform 112 to interface with system 100 and/or external resources 134, and/or provide other functionality attributed herein to remote platform(s) 112. By way of non-limiting example, a given remote platform 112 and/or a given computing platform 110 may include one or more of a server, a desktop computer, a laptop computer, a handheld computer, a tablet computing platform, a NetBook, a Smartphone, a gaming console, and/or other computing platforms.
[0046] External resources 134 may include sources of information outside of system 100, external entities participating with system 100, and/or other resources. In some implementations, some or all of the functionality attributed herein to external resources 134 may be provided by resources included in system 100.
[0047] Computing platform(s) 110 may include electronic storage 136, one or more processors 138, and/or other components. Computing platform(s) 110 may include communication lines, or ports to enable the exchange of information with a network and/or other computing platforms. Illustration of computing platform(s) 110 in FIG. 1 is not intended to be limiting. Computing platform(s) 110 may include a plurality of hardware, software, and/or firmware components operating together to provide the functionality attributed herein to computing platform(s) 110. For example, computing platform(s) 110 may be implemented by a cloud of computing platforms operating together as computing platform(s) 110.
[0048] Electronic storage 136 may comprise non-transitory storage media that electronically stores information. The electronic storage media of electronic storage 136 may include one or both of system storage that is provided integrally (i.e., substantially nonremovable) with computing platform(s) 110 and/or removable storage that is removably connectable to computing platform(s) 110 via, for example, a port (e.g., a USB port, a firewire port, etc.) or a drive (e.g., a disk drive, etc.). Electronic storage 136 may include one or more of optically readable storage media (e.g., optical disks, etc.), magnetically readable storage media (e.g., magnetic tape, magnetic hard drive, floppy drive, etc.), electrical charge-based storage media (e.g., EEPROM, RAM, etc.), solid-state storage media (e.g., flash drive, etc.), and/or other electronically readable storage media. Electronic storage 136 may include one or more virtual storage resources (e.g., cloud storage, a virtual private network, and/or other virtual storage resources). Electronic storage 136 may store software algorithms, information determined by processor(s) 138, information received from computing platform(s) 110, information received from remote platform(s) 112, and/or other information that enables computing platform(s) 110 to function as described herein.
[0049] Processor(s) 138 may be configured to provide information processing capabilities in computing platform(s) 110. As such, processor(s) 138 may include one or more of a digital processor, an analog processor, a digital circuit designed to process information, an analog circuit designed to process information, a state machine, and/or other mechanisms for electronically processing information. Although processor(s) 138 is shown in FIG. 1 as a single entity, this is for illustrative purposes only. In some implementations, processor(s) 138 may include a plurality of processing units. These processing units may be physically located within the same device, or processor(s) 138 may represent processing functionality of a plurality of devices operating in coordination. Processor(s) 138 may be configured to execute modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132, and/or other modules. Processor(s) 138 may be configured to execute modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132, and/or other modules by software; hardware; firmware; some combination of software, hardware, and/or firmware; and/or other mechanisms for configuring processing capabilities on processor(s) 138. As used herein, the term “module” may refer to any component or set of components that perform the functionality attributed to the module. This may include one or more physical processors during execution of processor readable instructions, the processor readable instructions, circuitry, hardware, storage media, or any other components.
[0050] It should be appreciated that although modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132 are illustrated in FIG. 1 as being implemented within a single processing unit, in implementations in which processor(s) 138 includes multiple processing units, one or more of modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132 may be implemented remotely from the other modules. The description of the functionality provided by the different modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132 described below is for illustrative purposes, and is not intended to be limiting, as any of modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132 may provide more or less functionality than is described. For example, one or more of modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132 may be eliminated, and some or all of its functionality may be provided by other ones of modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132. As another example, processor(s) 138 may be configured to execute one or more additional modules that may perform some or all of the functionality attributed below to one of modules 116, 118, 120, 122, 124, 126, 128, 130, and/or 132.
[0051] The techniques described herein may be implemented as method(s) that are performed by physical computing device(s); as one or more non-transitory computer- readable storage media storing instructions which, when executed by computing device(s), cause performance of the method(s); or as physical computing device(s) that are specially configured with a combination of hardware and software that causes performance of the method(s).
[0052] Turning now to FIG. 5, illustrated is an exemplary flow diagram (e.g., process 500) for securely transmitting information, according to certain aspects of the disclosure. For explanatory purposes, the exemplary process 500 is described herein with reference to FIGS. 1, 2, 3, 4A, and 4B. Further for explanatory purposes, the steps of the exemplary process 500 are described herein as occurring in serial, or linearly. However, multiple instances of the example process 500 may occur in parallel.
[0053] At step 510, the process 500 may include receiving telematics data from a mobile device associated with a first user. By way of example and not limitation, the received telematics data may include one or more of a location of a vehicle, vehicle acceleration data, vehicle deceleration data, data regarding sharp turns taken by the vehicle, vehicle travel paths, vehicle navigation, vehicle GPS information, vehicle fuel consumption, vehicle speed, vehicle location history, duration of one or more trips taken by the vehicle, relevant road, weather, traffic, and other mobility information. In aspects, the received data may be specific to the first user (e.g., a fleet vehicle operator). [0054] At step 512, the process 500 may include normalizing the telematics data (i.e., at least a portion of the data received at step 510). In aspects, normalizing the telematics data may be accomplished in accordance with the data normalization service depicted in FIGS. 2 and/or 3.
[0055] At step 514, the process 500 may include receiving permission, from the first user, to share the telematics data. In aspects, permission may be derived based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations). In aspects, permission may be derived based on the privacy settings of an individual leasing a vehicle. In aspects, permission may be configured for differing geographical regions to accommodate differing region- specific privacy regulations. In aspects, permission may be received from the first user via an application on a mobile device associated with the first user. In aspects, permission may be received via user interfaces substantially similar to that shown in the exemplary screen displays of FIGS. 4A and 4B.
[0056] At step 516, the process 500 may include, based on receiving permission, from the first user, to share the data, transmitting at least a portion of the data (i.e., the normalized telematics data) to a second user (e.g., a vehicle fleet manager and/or fleet management service).
[0057] For example, as described above in relation to FIGS. 1, 2, 3, 4A and 4B at step 510, the process 500 may include receiving telematics data from a mobile device associated with a first user (e.g., through data receiving module 122 of the system 100 of FIG. 1). At step 512, the process 500 may include normalizing the mobile telematics data (e.g., through data normalizing module 124 of the system 100 of FIG. 1). At step 514, the process 500 may include, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data (e.g., through user permission receiving module 126 of the system 100 of FIG. 1). At step 516, the process 500 may include, based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., through data transmitting module 128 of the system 100 of FIG. 1).
[0058] FIG. 6 illustrates an exemplary flow diagram (e.g., process 600) for securely transmitting information, according to certain aspects of the disclosure. For explanatory purposes, the exemplary process 600 is described herein with reference to FIGS. 1, 2, 3, 4A, and 4B. Further for explanatory purposes, the steps of the exemplary process 600 are described herein as occurring in serial, or linearly. However, multiple instances of the example process 600 may occur in parallel.
[0059] At step 610, the process 600 may include receiving a user identification token from a mobile device associated with a first user. In aspects, the user identification token may contain information that may be useful in determining and/or verifying an identify of the first user.
[0060] At step 612, the process 600 may include verifying an identity of the first user utilizing the user identification token.
[0061] At step 614, the process 600 may include providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified.
[0062] At step 616, the process 600 may include, based on providing the positive response token, receiving telematics data from the mobile device associated with the first user. By way of example and not limitation, the received telematics data may include one or more of a location of a vehicle, vehicle acceleration data, vehicle deceleration data, data regarding sharp turns taken by the vehicle, vehicle travel paths, vehicle navigation, vehicle GPS information, vehicle fuel consumption, vehicle speed, vehicle location history, duration of one or more trips taken by the vehicle, relevant road, weather, traffic, and other mobility information. In aspects, the received data may be specific to the first user (e.g., a fleet vehicle operator).
[0063] At step 618, the process 600 may include normalizing the telematics data (i.e., at least a portion of the data received at step 616). In aspects, normalizing the telematics data may be accomplished in accordance with the data normalization service depicted in FIGS. 2 and/or 3.
[0064] At step 620, the process 600 may include receiving permission, from the first user, to share the telematics data. In aspects, permission may be derived based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations). In aspects, permission may be derived based on the privacy settings of an individual leasing a vehicle. In aspects, permission may be configured for differing geographical regions to accommodate differing region- specific privacy regulations. In aspects, permission may be received from the first user via an application on a mobile device associated with the first user. In aspects, permission may be received via user interfaces substantially similar to that shown in the exemplary screen displays of FIGS. 4A and 4B.
[0065] At step 622, the process 600 may include, based on receiving permission from the first user, to share the normalized telematics data, transmitting at least a portion of the normalized telematics data to a second user, transmitting at least a portion of the normalized telematics data to a second user (e.g., a vehicle fleet manager and/or fleet management service).
[0066] For example, as described above in relation to FIGS. 1, 2, 3, 4A, and 4B, at step 610, the process 600 may include receiving a user identification token from a mobile device associated with a first user (e.g., through user token receiving module 116 of the system 100 of FIG. 1). At step 612, the process 600 may include verifying an identity of the first user utilizing the user identification token (e.g., through user ID verifying module 118 of the system 100 of FIG. 1). At step 614, the process 600 may include providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified (e.g., through response token providing module 120 of the system 100 of FIG. 1). At step 616, the process 600 may include, based on providing the positive response token, receiving telematics data from the mobile device associated with the first user (e.g., through data receiving module 122 of the system 100 of FIG. 1). At step 618, the process 600 may include normalizing the telematics data (e.g., through data normalizing module 124 of the system 100 of FIG. 1). At step 620, the process 600 may include, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data (e.g., through user permission receiving module 126 of the system 100 of FIG. 1). At step 622, the process 600 may include transmitting at least a portion of the normalized telematics data to a second user (e.g., through data transmitting module 128 of the system 100 of FIG. 1).
[0067] FIG. 7 illustrates an exemplary flow diagram (e.g., process 700) for securely transmitting information, according to certain aspects of the disclosure. For explanatory purposes, the exemplary process 700 is described herein with reference to FIGS. 1, 2, 3, 4A, and 4B. Further for explanatory purposes, the steps of the exemplary process 700 are described herein as occurring in serial, or linearly. However, multiple instances of the example process 600 may occur in parallel.
[0068] At step 710, the process 700 may include receiving a user identification token from a mobile device associated with a first user. In aspects, the user identification token may contain information that may be useful in determining and/or verifying an identify of the first user.
[0069] At step 712, the process 700 may include verifying an identity of the first user utilizing the user identification token.
[0070] At step 714, the process 700 may include providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified.
[0071] At step 716, the process 700 may include, based on providing the positive response token, receiving telematics data, the user identification token, and a timestamp from the mobile device associated with the first user. By way of example and not limitation, the received telematics data may include one or more of a location of a vehicle, vehicle acceleration data, vehicle deceleration data, data regarding sharp turns taken by the vehicle, vehicle travel paths, vehicle navigation, vehicle GPS information, vehicle fuel consumption, vehicle speed, vehicle location history, duration of one or more trips taken by the vehicle, relevant road, weather, traffic, and other mobility information. In aspects, the received data may be specific to the first user (e.g., a fleet vehicle operator).
[0072] At step 718, the process 700 may include normalizing the received telematics data (i.e., at least a portion of the data received at step 716). In aspects, normalizing the telematics data may be accomplished in accordance with the data normalization service depicted in FIGS . 2 and/or 3.
[0073] At step 720, the process 700 may include receiving permission, from the first user, to share the telematics data. In aspects, permission may be derived based on the privacy settings of individuals (e.g., fleet vehicle operators) working under organizations (e.g., fleet management organizations). In aspects, permission may be derived based on the privacy settings of an individual leasing a vehicle. In aspects, permission may be configured for differing geographical regions to accommodate differing region- specific privacy regulations. In aspects, permission may be received from the first user via an application on a mobile device associated with the first user. In aspects, permission may be received via user interfaces substantially similar to that shown in the exemplary screen displays of FIGS. 4A and 4B.
[0074] At step 722, the process 700 may include, based on receiving permission, from the first user, to share the normalized telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., a fleet manager and/or a fleet management service).
[0075] For example, as described above in relation to FIGS. 1, 2, 3, 4A, and 4B, at step 710, the process 700 may include receiving a user identification token from a mobile device associated with a first user (e.g., through user token receiving module 116 of the system 100 of FIG. 1). At step 712, the process 700 may include verifying an identity of the first user utilizing the user identification token (e.g., through user ID verifying module 118 of the system 100 of FIG. 1). At step 714, the process 700 may include providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified (e.g., through response token providing module 120 of the system 100 of FIG. 1). At step 716, the process 700 may include, based on providing the positive response token, receiving telematics data, the user identification token, and a timestamp from the mobile device associated with the first user (e.g., through data receiving module 122, user token receiving module 116, and timestamp receiving module 130 of the system 100 of FIG. 1). At step 718, the process 700 may include normalizing the received telematics data (e.g., data normalizing module 124 of the system 100 of FIG. 1). At step 720, the process 700 may include, based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data (e.g., through user permission receiving module 126 of the system 100 of FIG. 1). At step 722, the process may include, based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user (e.g., through data transmitting module 128 of the system 100 of FIG. 1).
[0076] FIG. 8 is a block diagram illustrating an exemplary computer system 800 with which aspects of the subject technology can be implemented. In certain aspects, the computer system 800 may be implemented using hardware or a combination of software and hardware, either in a dedicated server, integrated into another entity, or distributed across multiple entities.
[0077] Computer system 800 (e.g., server and/or client) includes a bus 816 or other communication mechanism for communicating information, and a processor 810 coupled with bus 816 for processing information. By way of example, the computer system 800 may be implemented with one or more processors 810. Processor 810 may be a general-purpose microprocessor, a microcontroller, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a state machine, gated logic, discrete hardware components, or any other suitable entity that can perform calculations or other manipulations of information.
[0078] Computer system 800 can include, in addition to hardware, code that creates an execution environment for the computer program in question, e.g., code that constitutes processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them stored in an included memory 812, such as a Random Access Memory (RAM), a flash memory, a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable PROM (EPROM), registers, a hard disk, a removable disk, a CD-ROM, a DVD, or any other suitable storage device, coupled to bus 816 for storing information and instructions to be executed by processor 810. The processor 810 and the memory 812 can be supplemented by, or incorporated in, special purpose logic circuitry.
[0079] The instructions may be stored in the memory 812 and implemented in one or more computer program products, i.e., one or more modules of computer program instructions encoded on a computer readable medium for execution by, or to control the operation of, the computer system 800, and according to any method well-known to those of skill in the art, including, but not limited to, computer languages such as data-oriented languages (e.g., SQL, dBase), system languages (e.g., C, Objective-C, C++, Assembly), architectural languages (e.g., Java, .NET), and application languages (e.g., PHP, Ruby, Perl, Python). Instructions may also be implemented in computer languages such as array languages, aspect-oriented languages, assembly languages, authoring languages, command line interface languages, compiled languages, concurrent languages, curly-bracket languages, dataflow languages, data-structured languages, declarative languages, esoteric languages, extension languages, fourth-generation languages, functional languages, interactive mode languages, interpreted languages, iterative languages, list-based languages, little languages, logic-based languages, machine languages, macro languages, metaprogramming languages, multiparadigm languages, numerical analysis, non-English- based languages, object-oriented class-based languages, object-oriented prototype-based languages, off-side rule languages, procedural languages, reflective languages, rule-based languages, scripting languages, stack-based languages, synchronous languages, syntax handling languages, visual languages, wirth languages, and xml-based languages. Memory 812 may also be used for storing temporary variable or other intermediate information during execution of instructions to be executed by processor 810.
[0080] A computer program as discussed herein does not necessarily correspond to a file in a file system. A program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, subprograms, or portions of code). A computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network. The processes and logic flows described in this specification can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output.
[0081] Computer system 800 further includes a data storage device 814 such as a magnetic disk or optical disk, coupled to bus 816 for storing information and instructions. Computer system 800 may be coupled via input/output module 818 to various devices. The input/output module 818 can be any input/output module. Exemplary input/output modules 818 include data ports such as USB ports. The input/output module 818 is configured to connect to a communications module 820. Exemplary communications modules 820 include networking interface cards, such as Ethernet cards and modems. In certain aspects, the input/output module 818 is configured to connect to a plurality of devices, such as an input device 822 and/or an output device 824. Exemplary input devices 822 include a keyboard and a pointing device, e.g., a mouse or a trackball, by which a user can provide input to the computer system 800. Other kinds of input devices 822 can be used to provide for interaction with a user as well, such as a tactile input device, visual input device, audio input device, or brain-computer interface device. For example, feedback provided to the user can be any form of sensory feedback, e.g., visual feedback, auditory feedback, or tactile feedback, and input from the user can be received in any form, including acoustic, speech, tactile, or brain wave input. Exemplary output devices 824 include display devices such as an LCD (liquid crystal display) monitor, for displaying information to the user.
[0082] According to one aspect of the present disclosure, the above-described systems can be implemented using a computer system 800 in response to processor 810 executing one or more sequences of one or more instructions contained in memory 812. Such instructions may be read into memory 812 from another machine-readable medium, such as data storage device 814. Execution of the sequences of instructions contained in the main memory 812 causes processor 810 to perform the process steps described herein. One or more processors in a multi-processing arrangement may also be employed to execute the sequences of instructions contained in memory 812. In alternative aspects, hard-wired circuitry may be used in place of or in combination with software instructions to implement various aspects of the present disclosure. Thus, aspects of the present disclosure are not limited to any specific combination of hardware circuitry and software.
[0083] Various aspects of the subject matter described in this specification can be implemented in a computing system that includes a back end component, e.g., such as a data server, or that includes a middleware component, e.g., an application server, or that includes a front end component, e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the subject matter described in this specification, or any combination of one or more such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network. The communication network can include, for example, any one or more of a LAN, a WAN, the Internet, and the like. Further, the communication network can include, but is not limited to, for example, any one or more of the following network topologies, including a bus network, a star network, a ring network, a mesh network, a star-bus network, tree or hierarchical network, or the like. The communications modules can be, for example, modems or Ethernet cards. [0084] Computer system 800 can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client- server relationship to each other. Computer system 800 can be, for example, and without limitation, a desktop computer, laptop computer, or tablet computer. Computer system 800 can also be embedded in another device, for example, and without limitation, a mobile telephone, a PDA, a mobile audio player, a Global Positioning System (GPS) receiver, a video game console, and/or a television set top box.
[0085] The term “machine-readable storage medium” or “computer readable medium” as used herein refers to any medium or media that participates in providing instructions to processor 810 for execution. Such a medium may take many forms, including, but not limited to, non-volatile media, volatile media, and transmission media. Non-volatile media include, for example, optical or magnetic disks, such as data storage device 814. Volatile media include dynamic memory, such as memory 812. Transmission media include coaxial cables, copper wire, and fiber optics, including the wires that comprise bus 816. Common forms of machine-readable media include, for example, floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, DVD, any other optical medium, punch cards, paper tape, any other physical medium with patterns of holes, a RAM, a PROM, an EPROM, a FLASH EPROM, any other memory chip or cartridge, or any other medium from which a computer can read. The machine-readable storage medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter effecting a machine-readable propagated signal, or a combination of one or more of them.
[0086] As the user computing system 800 reads data, information may be read from the data and stored in a memory device, such as the memory 812. Additionally, data from the memory 812 servers accessed via a network the bus 816, or the data storage 814 may be read and loaded into the memory 812. Although data is described as being found in the memory 812, it will be understood that data does not have to be stored in the memory 812 and may be stored in other memory accessible to the processor 810 or distributed among several media, such as the data storage 814. [0087] As used herein, the phrase “at least one of’ preceding a series of items, with the terms “and” or “or” to separate any of the items, modifies the list as a whole, rather than each member of the list (i.e., each item). The phrase “at least one of’ does not require selection of at least one item; rather, the phrase allows a meaning that includes at least one of any one of the items, and/or at least one of any combination of the items, and/or at least one of each of the items. By way of example, the phrases “at least one of A, B, and C” or “at least one of A, B, or C” each refer to only A, only B, or only C; any combination of A, B, and C; and/or at least one of each of A, B, and C.
[0088] To the extent that the terms “include,” have,” or the like is used in the description or the claims, such term is intended to be inclusive in a manner similar to the term “comprise” as “comprise” is interpreted when employed as a transitional word in a claim. The word “exemplary” is used herein to mean “serving as an example, instance, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.
[0089] A reference to an element in the singular is not intended to mean “one and only one” unless specifically stated, but rather “one or more”. All structural and functional equivalents to the elements of the various configurations described throughout this disclosure that are known or later come to be known to those of ordinary skill in the art are expressly incorporated herein by reference and intended to be encompassed by the subject technology. Moreover, nothing disclosed herein is intended to be dedicated to the public regardless of whether such disclosure is explicitly recited in the above description.
[0090] While this specification contains many specifics, these should not be construed as limitations on the scope of what may be claimed, but rather as descriptions of particular implementations of the subject matter. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination. [0091] The subject matter of this specification has been described in terms of particular aspects, but other aspects can be implemented and are within the scope of the following claims. For example, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed to achieve desirable results. The actions recited in the claims can be performed in a different order and still achieve desirable results. As one example, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Moreover, the separation of various system components in the aspects described above should not be understood as requiring such separation in all aspects, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products. Other variations are within the scope of the following claims.

Claims

CLAIMS What is claimed is:
1. A computer-implemented method for securely transmitting information, the method comprising: receiving telematics data from a mobile device associated with a first user; normalizing the received telematics data; based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data; and based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user.
2. The computer- implemented method of claim 1, further comprising: prior to receiving telematics data from the mobile device associated with the first user, receiving a user identification token from a mobile device associated with the first user; verifying an identity of the first user utilizing the user identification token; and providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified.
3. The computer-implemented method of claim 2, wherein receiving the telematics data from the mobile device associated with the first user comprises receiving the telematics data from the mobile device associated with the first user based on providing the positive response token to the mobile device associated with the first user.
4. The computer-implemented method of claim 3, further comprising receiving a timestamp associated with the received telematics data from the mobile device associated with the first user.
5. The computer-implemented method of claim 4, further comprising identifying a vehicle identification number for a vehicle associated with the user identification token and the timestamp.
-28-
6. The computer-implemented method of claim 5, wherein transmitting at least the portion of the normalized telematics data to the second user comprises transmitting the vehicle identification number and at least the portion of the normalized telematics data to the second user without transmitting the user identification token.
7. The computer-implemented method of claim 1, wherein receiving permission, from the first user, to share the telematics data comprises receiving permission, from the first user, via an application on the mobile device associated with the first user.
8. The computer-implemented method of claim 1, wherein at least a portion of the privacy settings derived from the mobile device associated with the first user, are derived from geographical-region-specific privacy regulations.
9. A system configured for securely transmitting information, the system comprising: one or more hardware processors configured by machine-readable instructions to: receive a user identification token from a mobile device associated with a first user; verify an identity of the first user utilizing the user identification token; based on providing the positive response token, receive telematics data from the mobile device associated with the first user; normalize the telematics data; based on privacy settings derived from the mobile device associated with the first user, receive permission, from the first user, to share the telematics data and based on receiving permission, from the first user, to share the telematics data, transmit at least a portion of the normalized telematics data to a second user.
10. The system of claim 9, wherein the one or more hardware processors are further configured by machine-readable instructions to receive a timestamp associated with the telematics data from the mobile device associated with the first user.
11. The system of claim 10, wherein the one or more hardware processors are further configured by machine-readable instructions to identify a vehicle identification number for a vehicle associated with the user identification token and the timestamp.
12. The system of claim 11, wherein the one or more hardware processors are configured to transmit at least the portion of the normalized telematics data to the second user by transmitting the vehicle identification number and at least a portion of the normalized telematics data to the second user without transmitting the user identification token.
13. The system of claim 12, wherein transmitting the vehicle identification number and at least the portion of the normalized telematics data to a second user without transmitting the user identification token comprises transmitting the vehicle identification number and at least the portion of the normalized telematics data to the second user based on receiving permission, from the first user, to share the telematics data.
14. The system of claim 9, wherein permission is received, from the first user, to share the telematics data via an application on the mobile device associated with the first user.
15. The system of claim 9, wherein at least a portion of the privacy settings derived from the mobile device associated with the first user, are derived from geographical- region- specific privacy regulations.
16. A non-transient computer- readable storage medium having instructions embodied thereon, the instructions being executable by one or more processors to perform a method for securely transmitting information, the method comprising: receiving a user identification token from a mobile device associated with a first user; verifying an identity of the first user utilizing the user identification token; providing a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified; based on providing the positive response token, receiving telematics data, the user identification token, and a timestamp from the mobile device associated with the first user; normalizing the received telematics data;
-so based on privacy settings derived from the mobile device associated with the first user, receiving permission, from the first user, to share the telematics data; and based on receiving permission, from the first user, to share the telematics data, transmitting at least a portion of the normalized telematics data to a second user.
17. The computer-readable storage medium of claim 17, wherein the method further comprises identifying a vehicle identification number for a vehicle associated with the user identification token and the timestamp.
18. The computer-readable storage medium of claim 17, wherein transmitting at least the portion of the normalized telematics data to the second user comprises transmitting the vehicle identification number and at least the portion of the normalized telematics data to the second user without transmitting the user identification token.
19. The system of claim 17, wherein receiving permission, from the first user, to share the telematics data with the second user comprises receiving permission, from the first user, via an application on the mobile device associated with the first user.
20. The system of claim 16, wherein at least a portion of the privacy settings derived from the mobile device associated with the first user, are derived from geographical- region- specific privacy regulations.
PCT/US2022/039448 2021-08-05 2022-08-04 Normalizing and securely transmitting telematics data Ceased WO2023014899A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP22853920.1A EP4381477A4 (en) 2021-08-05 2022-08-04 NORMALIZATION AND SECURE TRANSMISSION OF TELEMATICS DATA
CA3227889A CA3227889A1 (en) 2021-08-05 2022-08-04 Normalizing and securely transmitting telematics data

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202163229935P 2021-08-05 2021-08-05
US63/229,935 2021-08-05

Publications (1)

Publication Number Publication Date
WO2023014899A1 true WO2023014899A1 (en) 2023-02-09

Family

ID=85153285

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2022/039448 Ceased WO2023014899A1 (en) 2021-08-05 2022-08-04 Normalizing and securely transmitting telematics data

Country Status (4)

Country Link
US (1) US12457491B2 (en)
EP (1) EP4381477A4 (en)
CA (1) CA3227889A1 (en)
WO (1) WO2023014899A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117501327A (en) * 2021-04-09 2024-02-02 大众汽车股份公司 Real-time monitoring module for vehicles
US20250252504A1 (en) * 2024-02-06 2025-08-07 TeleLingo LLC dba. dreyev Apparatus for high-frequency policy underwriting system for real-time dynamic pricing

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120226421A1 (en) * 2011-03-02 2012-09-06 Kote Thejovardhana S Driver Identification System and Methods
US20140195100A1 (en) * 2013-01-04 2014-07-10 Soren K. Lundsgaard Smartphone based system for vehicle monitoring security
US20160379486A1 (en) * 2015-03-24 2016-12-29 Donald Warren Taylor Apparatus and system to manage monitored vehicular flow rate
US20180158263A1 (en) * 2015-12-08 2018-06-07 Smartcar, Inc. System and method for processing vehicle requests
US20200287775A1 (en) * 2019-03-07 2020-09-10 Route4Me, Inc. Autonomous telematics platform

Family Cites Families (167)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7904219B1 (en) 2000-07-25 2011-03-08 Htiip, Llc Peripheral access devices and sensors for use with vehicle telematics devices and systems
US7941258B1 (en) 2000-08-31 2011-05-10 Strategic Design Federation W, Inc. Automobile monitoring for operation analysis
US10185455B2 (en) 2012-10-04 2019-01-22 Zonar Systems, Inc. Mobile computing device for fleet telematics
US7401233B2 (en) * 2003-06-24 2008-07-15 International Business Machines Corporation Method, system, and apparatus for dynamic data-driven privacy policy protection and data sharing
US7610210B2 (en) 2003-09-04 2009-10-27 Hartford Fire Insurance Company System for the acquisition of technology risk mitigation information associated with insurance
US9311676B2 (en) 2003-09-04 2016-04-12 Hartford Fire Insurance Company Systems and methods for analyzing sensor data
US9477639B2 (en) 2006-03-08 2016-10-25 Speed Demon Inc. Safe driving monitoring system
US9848289B2 (en) 2006-03-08 2017-12-19 Octo Advisory Inc. Safe driving monitoring system
US9067565B2 (en) 2006-05-22 2015-06-30 Inthinc Technology Solutions, Inc. System and method for evaluating driver behavior
CN101484779B (en) 2006-06-30 2012-11-21 大陆-特韦斯贸易合伙股份公司及两合公司 Method and apparatus for transmitting vehicle-related information in and out of a vehicle
US7853375B2 (en) 2007-04-10 2010-12-14 Maurice Tuff Vehicle monitor
US8117049B2 (en) 2007-04-10 2012-02-14 Hti Ip, Llc Methods, systems, and apparatuses for determining driver behavior
CA2973085C (en) 2007-05-23 2023-08-15 Intelligent Mechatronic Systems Inc. Recording and reporting of driving characteristics using wireless mobile device
US9747729B2 (en) 2007-05-31 2017-08-29 Verizon Telematics Inc. Methods, systems, and apparatuses for consumer telematics
US8577703B2 (en) 2007-07-17 2013-11-05 Inthinc Technology Solutions, Inc. System and method for categorizing driving behavior using driver mentoring and/or monitoring equipment to determine an underwriting risk
CA2910843C (en) 2007-07-23 2018-06-12 R & L Carriers, Inc. Information transmission and processing systems and methods for freight carriers
US8180655B1 (en) 2007-09-24 2012-05-15 United Services Automobile Association (Usaa) Systems and methods for processing vehicle or driver performance data
US20180013873A1 (en) 2008-01-31 2018-01-11 Sirius Xm Connected Vehicle Services Inc. Method of Providing Driver-Behavior Information Off-Site Through Telematics System
US10210479B2 (en) 2008-07-29 2019-02-19 Hartford Fire Insurance Company Computerized sysem and method for data acquistion and application of disparate data to two stage bayesian networks to generate centrally maintained portable driving score data
CN102203810A (en) 2008-09-09 2011-09-28 美国联合包裹服务公司 Systems and methods of utilizing telematics data to improve fleet management operations
US8854199B2 (en) 2009-01-26 2014-10-07 Lytx, Inc. Driver risk assessment system and method employing automated driver log
US9727920B1 (en) 2009-03-16 2017-08-08 United Services Automobile Association (Usaa) Insurance policy management using telematics
US9615213B2 (en) 2009-07-21 2017-04-04 Katasi Llc Method and system for controlling and modifying driving behaviors
US8191400B2 (en) 2009-09-29 2012-06-05 Panasonic Automotive Systems Company Of America Method and apparatus for supporting accelerometer based controls in a mobile environment
US9688286B2 (en) 2009-09-29 2017-06-27 Omnitracs, Llc System and method for integrating smartphone technology into a safety management platform to improve driver safety
US8635091B2 (en) 2009-12-17 2014-01-21 Hartford Fire Insurance Company Systems and methods for linking vehicles to telematics-enabled portable devices
US9558520B2 (en) 2009-12-31 2017-01-31 Hartford Fire Insurance Company System and method for geocoded insurance processing using mobile devices
US9043041B2 (en) 2010-02-12 2015-05-26 Webtech Wireless Inc. Monitoring aggressive driving operation of a mobile asset
US8390474B2 (en) 2010-04-27 2013-03-05 General Motors Llc Method for collecting data and system for accomplishing the same
US8880285B2 (en) 2010-09-11 2014-11-04 Intelligent Mechatronic Systems Inc. Flexible coaching platform for telematics system
US9527515B2 (en) 2011-12-23 2016-12-27 Zonar Systems, Inc. Vehicle performance based on analysis of drive data
WO2012097441A1 (en) 2011-01-17 2012-07-26 Imetrik Technologies Inc. Computer-implemented method and system for reporting a confidence score in relation to a vehicle equipped with a wireless-enabled usage reporting device
US8928495B2 (en) 2011-01-24 2015-01-06 Lexisnexis Risk Solutions Inc. Systems and methods for telematics monitoring and communications
US9164957B2 (en) 2011-01-24 2015-10-20 Lexisnexis Risk Solutions Inc. Systems and methods for telematics monitoring and communications
JP5582125B2 (en) 2011-03-28 2014-09-03 株式会社デンソー Information display system and vehicle apparatus
US20160195406A1 (en) 2011-06-29 2016-07-07 State Farm Mutual Automobile Insurance Company Systems And Methods For Providing Route Information Using A Mobile Device
US20160198306A1 (en) 2011-06-29 2016-07-07 State Farm Mutual Automobile Insurance Company Systems And Methods For Providing Vehicle And Equipment Suggestions Using A Mobile Device
US20160196613A1 (en) 2011-06-29 2016-07-07 State Farm Mutual Automobile Insurance Company Automated Driver Training And Premium Discounts
US10977601B2 (en) 2011-06-29 2021-04-13 State Farm Mutual Automobile Insurance Company Systems and methods for controlling the collection of vehicle use data using a mobile device
US20130006674A1 (en) 2011-06-29 2013-01-03 State Farm Insurance Systems and Methods Using a Mobile Device to Collect Data for Insurance Premiums
US9922567B2 (en) 2011-07-21 2018-03-20 Bendix Commercial Vehicle Systems Llc Vehicular fleet management system and methods of monitoring and improving driver performance in a fleet of vehicles
US8538785B2 (en) 2011-08-19 2013-09-17 Hartford Fire Insurance Company System and method for computing and scoring the complexity of a vehicle trip using geo-spatial information
US9177427B1 (en) 2011-08-24 2015-11-03 Allstate Insurance Company Vehicle driver feedback device
US9786009B2 (en) 2011-11-29 2017-10-10 Hartford Fire Insurance Company System and method for administering a telematics-enabled test drive dealer program
US10169822B2 (en) 2011-12-02 2019-01-01 Spireon, Inc. Insurance rate optimization through driver behavior monitoring
US9824064B2 (en) 2011-12-21 2017-11-21 Scope Technologies Holdings Limited System and method for use of pattern recognition in assessing or monitoring vehicle status or operator driving behavior
US9767622B2 (en) 2012-03-22 2017-09-19 Tata Consultancy Services Limited System and a method for improved car prognosis
US20130274955A1 (en) 2012-04-13 2013-10-17 Walter Steven Rosenbaum Method for analyzing operation characteristics of a vehicle driver
US8768734B2 (en) 2012-05-10 2014-07-01 Hartford Fire Insurance Company System and method for computing and sorting trip similarities using geo-spatial information
US8799032B2 (en) 2012-05-22 2014-08-05 Hartford Fire Insurance Company System and method to predict an insurance policy benefit associated with telematics data
US9424696B2 (en) 2012-10-04 2016-08-23 Zonar Systems, Inc. Virtual trainer for in vehicle driver coaching and to collect metrics to improve driver performance
US8457880B1 (en) 2012-11-28 2013-06-04 Cambridge Mobile Telematics Telematics using personal mobile devices
US9081650B1 (en) 2012-12-19 2015-07-14 Allstate Insurance Company Traffic based driving analysis
US9104535B1 (en) 2012-12-19 2015-08-11 Allstate Insurance Company Traffic based driving analysis
US9141582B1 (en) 2012-12-19 2015-09-22 Allstate Insurance Company Driving trip and pattern analysis
US9141995B1 (en) 2012-12-19 2015-09-22 Allstate Insurance Company Driving trip and pattern analysis
AU2013370495B2 (en) 2012-12-26 2019-05-09 Cambridge Mobile Telematics Inc Methods and systems for driver identification
US9489781B2 (en) 2013-01-30 2016-11-08 United Services Automobile Association Systems and methods for utilizing telematics data
US9105066B2 (en) 2013-03-10 2015-08-11 State Farm Mutual Automobile Insurance Company Trip-based vehicle insurance
US10154382B2 (en) 2013-03-12 2018-12-11 Zendrive, Inc. System and method for determining a driver in a telematic application
US9228836B2 (en) 2013-03-15 2016-01-05 Cambridge Mobile Telematics Inference of vehicular trajectory characteristics with personal mobile devices
US10445758B1 (en) * 2013-03-15 2019-10-15 Allstate Insurance Company Providing rewards based on driving behaviors detected by a mobile computing device
US9883353B2 (en) 2013-03-15 2018-01-30 Volkswagen Ag Method to transmit real-time in-vehicle information to an internet service
US8738523B1 (en) 2013-03-15 2014-05-27 State Farm Mutual Automobile Insurance Company Systems and methods to identify and profile a vehicle operator
US9633488B2 (en) 2013-03-15 2017-04-25 Compagnie Generale Des Etablissements Michelin Methods and apparatus for acquiring, transmitting, and storing vehicle performance information
KR101500362B1 (en) 2013-07-11 2015-03-11 현대자동차 주식회사 System and method for providing driving information of electric vehicle
US9053516B2 (en) 2013-07-15 2015-06-09 Jeffrey Stempora Risk assessment using portable devices
US10311749B1 (en) 2013-09-12 2019-06-04 Lytx, Inc. Safety score based on compliance and driving
CA2927515C (en) 2013-10-14 2022-01-04 Ims Solutions Inc. Behavior based driving record management and rehabilitation
US9697491B2 (en) 2013-12-19 2017-07-04 Trapeze Software Ulc System and method for analyzing performance data in a transit organization
US10134091B2 (en) 2013-12-31 2018-11-20 Hartford Fire Insurance Company System and method for determining driver signatures
US9995584B1 (en) 2014-01-10 2018-06-12 Allstate Insurance Company Driving patterns
US10373257B1 (en) 2014-02-21 2019-08-06 Arity International Limited Vehicle telematics and account management
US9754425B1 (en) 2014-02-21 2017-09-05 Allstate Insurance Company Vehicle telematics and account management
US11836802B2 (en) * 2014-04-15 2023-12-05 Speedgauge, Inc. Vehicle operation analytics, feedback, and enhancement
US9272714B2 (en) 2014-04-28 2016-03-01 Ford Global Technologies, Llc Driver behavior based vehicle application recommendation
EP3761272A1 (en) 2014-04-29 2021-01-06 Discovery Limited A system and method for obtaining vehicle telematics data
US10304138B2 (en) 2014-05-15 2019-05-28 State Farm Mutual Automobile Insurance Company System and method for identifying primary and secondary movement using spectral domain analysis
US9127946B1 (en) 2014-05-15 2015-09-08 State Farm Mutual Automobile Insurance Company System and method for identifying heading of a moving vehicle using accelerometer data
US9786103B2 (en) 2014-05-15 2017-10-10 State Farm Mutual Automobile Insurance Company System and method for determining driving patterns using telematics data
US9360322B2 (en) 2014-05-15 2016-06-07 State Farm Mutual Automobile Insurance Company System and method for separating ambient gravitational acceleration from a moving three-axis accelerometer data
US9858621B1 (en) 2014-05-20 2018-01-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle technology effectiveness determination for insurance pricing
US10078099B2 (en) 2014-06-24 2018-09-18 Truemotion, Inc. Methods and systems for aligning a mobile device to a vehicle
US9786154B1 (en) 2014-07-21 2017-10-10 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US10559038B1 (en) 2014-07-30 2020-02-11 Allstate Insurance Company Mobile service provider and insurance systems
ES2950595T3 (en) * 2014-09-05 2023-10-11 Vinli Inc Vehicle information system
US9984419B1 (en) 2014-10-06 2018-05-29 Allstate Insurance Company System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US9984420B1 (en) 2014-10-06 2018-05-29 Allstate Insurance Company System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US9996882B1 (en) 2014-10-06 2018-06-12 Allstate Insurance Company System and method for determining an insurance premium quote based on human telematic data and structure related telematic data
US10424024B1 (en) 2014-10-06 2019-09-24 Allstate Insurance Company System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US10471964B2 (en) 2014-10-10 2019-11-12 Wpj Holdings, Inc. System and method for collecting vehicle use and driving behavior data using a mobile communication device and bluetooth low energy (BLE) device
US10272923B2 (en) 2014-10-28 2019-04-30 Ford Global Technologies, Llc Driver-centric learning
US10336321B1 (en) 2014-11-13 2019-07-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10198772B2 (en) 2015-01-14 2019-02-05 Tata Consultancy Services Limited Driver assessment and recommendation system in a vehicle
US9836963B1 (en) 2015-01-20 2017-12-05 State Farm Mutual Automobile Insurance Company Determining corrective actions based upon broadcast of telematics data originating from another vehicle
US10713717B1 (en) * 2015-01-22 2020-07-14 Allstate Insurance Company Total loss evaluation and handling system and method
US9390452B1 (en) 2015-01-28 2016-07-12 Allstate Insurance Company Risk unit based policies
JP6773024B2 (en) 2015-03-06 2020-10-21 ソニー株式会社 Recording device, recording method and computer program
US10077056B1 (en) 2015-04-24 2018-09-18 State Farm Mutual Automobile Insurance Company Managing self-driving behavior of autonomous or semi-autonomous vehicle based upon actual driving behavior of driver
US10072932B2 (en) 2015-05-07 2018-09-11 Truemotion, Inc. Motion detection system for transportation mode analysis
US9892363B2 (en) 2015-05-07 2018-02-13 Truemotion, Inc. Methods and systems for sensor-based driving data collection
US10067157B2 (en) 2015-05-07 2018-09-04 Truemotion, Inc. Methods and systems for sensor-based vehicle acceleration determination
CN108139456B (en) 2015-08-20 2022-03-04 泽安驾驶公司 The method of accelerometer-assisted navigation
US10967872B2 (en) 2015-08-27 2021-04-06 Truemotion, Inc. Methods and systems for presenting collected driving data
US20210272207A1 (en) 2015-08-28 2021-09-02 State Farm Mutual Automobile Insurance Company Vehicular driver profiles and discounts
EP4699884A3 (en) 2015-09-17 2026-04-29 Cambridge Mobile Telematics Inc. Characterizing mobile device usage in a vehicle
US9395384B1 (en) 2015-10-07 2016-07-19 State Farm Mutual Automobile Insurance Company Systems and methods for estimating vehicle speed and hence driving behavior using accelerometer data during periods of intermittent GPS
US9892573B1 (en) 2015-10-14 2018-02-13 Allstate Insurance Company Driver performance ratings
US9820108B1 (en) 2015-10-20 2017-11-14 Allstate Insurance Company Connected services configurator
US10977255B2 (en) 2015-11-13 2021-04-13 Accenture Global Solutions Limited Analytics platform using telematics data
US10054446B2 (en) 2015-11-17 2018-08-21 Truemotion, Inc. Methods and systems for combining sensor data to measure vehicle movement
EP4258712A3 (en) 2015-11-18 2024-01-03 Discovery Limited A tracking and theft-recovery system for mobile assets
US10259466B2 (en) 2015-11-19 2019-04-16 Depura Partners, Llc System for monitoring and classifying vehicle operator behavior
SE539283C8 (en) 2015-12-15 2017-07-18 Greater Than S A Method and system for assessing the trip performance of a driver
JP2019512176A (en) 2016-01-15 2019-05-09 ドライビング マネージメント システムズ, インコーポレイテッド Mobile Device Synchronization and Data Collection Using Bluetooth Low Energy
US11691565B2 (en) 2016-01-22 2023-07-04 Cambridge Mobile Telematics Inc. Systems and methods for sensor-based detection, alerting and modification of driving behaviors
US9758095B2 (en) 2016-01-25 2017-09-12 International Business Machines Corporation Smartwatch blackbox
US10349219B2 (en) 2016-01-26 2019-07-09 Truemotion, Inc. Methods and systems for combining sensor data to determine vehicle movement information
US10115246B1 (en) 2016-01-29 2018-10-30 State Farm Mutual Automobile Insurance Company Driver identification for trips associated with anonymous vehicle telematics data
US10430883B1 (en) 2016-02-12 2019-10-01 Allstate Insurance Company Dynamic usage-based policies
US10449967B1 (en) 2016-03-01 2019-10-22 Allstate Insurance Company Vehicle to vehicle telematics
US10482688B2 (en) 2016-03-09 2019-11-19 Acculitx, Inc. System and method for driver risk assessment through continuous performance monitoring
CN108885764B (en) 2016-03-17 2023-03-24 瑞士再保险有限公司 Telematics system and corresponding method
US10029696B1 (en) 2016-03-25 2018-07-24 Allstate Insurance Company Context-based grading
US20170294139A1 (en) 2016-04-08 2017-10-12 Truemotion, Inc. Systems and methods for individualized driver prediction
US11134360B2 (en) 2016-04-18 2021-09-28 Cambridge Mobile Telematics Inc. Methods and systems for orienting a mobile device to a vehicle's reference frame
WO2017192726A1 (en) 2016-05-03 2017-11-09 Azuga, Inc. Method and apparatus for evaluating driver performance and determining driver rewards
SG10201603664TA (en) 2016-05-09 2017-12-28 Mastercard Asia Pacific Pte Ltd Method And System For On-Board Detection Of Speeding Of A Vehicle And Payment Of An Associated Fine
US11783421B2 (en) 2016-06-16 2023-10-10 Allstate Insurance Company Traveling-based insurance ratings
US10878328B2 (en) 2016-06-21 2020-12-29 Tata Consultancy Services Limited Method and system for analyzing driver behaviour based on telematics data
CN109416873B (en) 2016-06-24 2022-02-15 瑞士再保险有限公司 Autonomous or partially autonomous motor vehicle with automated risk control system and corresponding method
US11276255B2 (en) 2016-07-15 2022-03-15 Cambridge Mobile Telematics, Inc. Mileage and speed estimation
WO2018019354A1 (en) 2016-07-25 2018-02-01 Swiss Reinsurance Company Ltd. An apparatus for a dynamic, score-based, telematics connection search engine and aggregator and corresponding method thereof
WO2018028799A1 (en) 2016-08-12 2018-02-15 Swiss Reinsurance Company Ltd. Telematics system with vehicle-embedded telematics devices (oem line fitted) for score-driven, automated insurance and corresponding method
WO2018046102A1 (en) 2016-09-10 2018-03-15 Swiss Reinsurance Company Ltd. Automated, telematics-based system with score-driven triggering and operation of automated sharing economy risk-transfer systems and corresponding method thereof
WO2018049416A1 (en) 2016-09-12 2018-03-15 Zendrive, Inc. Method for mobile device-based cooperative data capture
US9739627B1 (en) 2016-10-18 2017-08-22 Allstate Insurance Company Road frustration index risk mapping and mitigation
US10403057B1 (en) 2016-12-01 2019-09-03 Nationwide Mutual Insurance Company System and method for analyzing telematics data
US10214144B2 (en) 2017-04-05 2019-02-26 Truemotion, Inc. Device-based systems and methods for detecting device usage
US9900747B1 (en) 2017-05-16 2018-02-20 Cambridge Mobile Telematics, Inc. Using telematics data to identify a type of a trip
US10633001B2 (en) 2017-06-05 2020-04-28 Allstate Insurance Company Vehicle telematics based driving assessment
US11151813B2 (en) 2017-06-28 2021-10-19 Zendrive, Inc. Method and system for vehicle-related driver characteristic determination
US10304329B2 (en) 2017-06-28 2019-05-28 Zendrive, Inc. Method and system for determining traffic-related characteristics
WO2019048034A1 (en) 2017-09-06 2019-03-14 Swiss Reinsurance Company Ltd. Electronic logging and track identification system for mobile telematics devices, and corresponding method thereof
US20190135177A1 (en) 2017-09-07 2019-05-09 Truemotion, Inc. Method and system for aggregation of behavior modification results
EP3698340A4 (en) 2017-10-20 2021-07-14 Zendrive, Inc. Method and system for vehicular-related communications
EP3717996B1 (en) 2017-11-27 2023-12-20 Zendrive, Inc. System and method for vehicle sensing and analysis
US11966978B2 (en) 2018-02-20 2024-04-23 Onlia Holding Inc. Smart mobility platform
US10392022B1 (en) 2018-02-28 2019-08-27 Calamp Corp. Systems and methods for driver scoring with machine learning
WO2019199561A1 (en) 2018-04-09 2019-10-17 Cambridge Mobile Telematics Inc. Vehicle classification based on telematics data
US10899358B2 (en) 2018-05-31 2021-01-26 Accenture Global Solutions Limited Vehicle driver monitoring system and method for capturing driver performance parameters
US10556596B2 (en) 2018-05-31 2020-02-11 Nissan North America, Inc. Driver scoring and safe driving notifications
US10793164B2 (en) 2018-06-25 2020-10-06 Allstate Insurance Company Logical configuration of vehicle control systems based on driver profiles
US11017483B2 (en) 2018-08-28 2021-05-25 Valvoline Licensing and Intellectual Property, LLC System and method for telematics for tracking equipment usage
CA3110109A1 (en) 2018-09-04 2020-03-12 Cambridge Mobile Telematics Inc. Systems and methods for classifying driver behavior
US11978074B2 (en) 2018-09-05 2024-05-07 Mastercard International Incorporated Driver monitoring system and method
US10529236B1 (en) 2018-10-09 2020-01-07 Cambridge Mobile Telematics Inc. Notifications for ambient dangerous situations
EP3877235A4 (en) 2018-11-09 2023-07-19 Iocurrents, Inc. PREDICTION, PLANNING AND OPTIMIZATION BASED ON MACHINE LEARNING OF TRIP TIME, TRIP COST AND/OR POLLUTANT EMISSION DURING NAVIGATION
US20200184404A1 (en) 2018-12-06 2020-06-11 Ford Global Technologies, Llc Fleet Trigger-Based Incentives With Blockchain
US10486709B1 (en) 2019-01-16 2019-11-26 Ford Global Technologies, Llc Vehicle data snapshot for fleet
US10668930B1 (en) 2019-02-04 2020-06-02 State Farm Mutual Automobile Insurance Company Determining acceptable driving behavior based on vehicle specific characteristics
US10703379B1 (en) 2019-02-04 2020-07-07 State Farm Mutual Automobile Insurance Company System and methods for determining owner's preferences based on vehicle owner's telematics data
US11074769B2 (en) 2019-03-26 2021-07-27 Cambridge Mobile Telematics Inc. Safety for vehicle users
US11037378B2 (en) 2019-04-18 2021-06-15 IGEN Networks Corp. Method and system for creating driver telematic signatures
US11386229B2 (en) 2019-07-04 2022-07-12 Blackberry Limited Filtering personally identifiable information from vehicle data
US12314448B2 (en) * 2020-08-14 2025-05-27 Aiden Automotive Technologies, Inc. Automotive data sharing and consent management platform
US12406536B2 (en) * 2020-10-01 2025-09-02 Geotab Inc. Techniques for exchanging information associated with vehicles

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120226421A1 (en) * 2011-03-02 2012-09-06 Kote Thejovardhana S Driver Identification System and Methods
US20140195100A1 (en) * 2013-01-04 2014-07-10 Soren K. Lundsgaard Smartphone based system for vehicle monitoring security
US20160379486A1 (en) * 2015-03-24 2016-12-29 Donald Warren Taylor Apparatus and system to manage monitored vehicular flow rate
US20180158263A1 (en) * 2015-12-08 2018-06-07 Smartcar, Inc. System and method for processing vehicle requests
US20200287775A1 (en) * 2019-03-07 2020-09-10 Route4Me, Inc. Autonomous telematics platform

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP4381477A4 *

Also Published As

Publication number Publication date
EP4381477A1 (en) 2024-06-12
US20230038428A1 (en) 2023-02-09
EP4381477A4 (en) 2025-06-11
US12457491B2 (en) 2025-10-28
CA3227889A1 (en) 2023-02-09

Similar Documents

Publication Publication Date Title
US12314287B2 (en) Method and system for self-aggregation of personal data and control thereof
US12475514B2 (en) Systems and methods for generating usage-based insurance contracts for peer-to-peer transactions
KR102391465B1 (en) Mobile device distance tracking
US20170057492A1 (en) Enriched connected car analysis services
US11270374B1 (en) System and method for usage based insurance for on-demand rental device
US20150242972A1 (en) Management of drone operations and security in a pervasive computing environment
US20200293587A1 (en) Digital content security and communications system using artificial intelligence (ai) based machine learning and predictive analysis
AU2012304946A1 (en) A system and a method for locating one or more peers
US12457491B2 (en) Normalizing and securely transmitting telematics data
US10417249B1 (en) System and method for creating and sharing bots
US11941157B2 (en) Computer analysis of software permissions for protecting access to data
US20250071510A1 (en) Geofence-triggered content delivery for electric vehicles at charging stations
US20250330775A1 (en) Collaborative social distancing
US12566535B1 (en) Preview assigned routes
US20220327930A1 (en) Cooperative operation of vehicles
US20210035252A1 (en) Determining disutility of shared transportation requests for a transportation matching system
US20220284319A1 (en) Intelligent guidance using machine learning for user navigation of multiple web pages
Fetni Development of a mobile application for carpooling the elderly
US12601608B2 (en) Route-based activity recommendation using artificial intelligence
US20240120089A1 (en) System and method for providing a dynamic medical practice queuing platform
US20260067395A1 (en) System and method for creating, organizing, and accessing purpose-driven social gatherings via a mobile application
US20240249368A1 (en) System and method for providing a platform for matching users in the process of work relocation
US20260105489A1 (en) Occupant-specific in-vehicle signage system
US20260104267A1 (en) Vehicle-based points of interest interaction
US20240403813A1 (en) System and method for providing adaptive cost analysis for a transportation service

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22853920

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 3227889

Country of ref document: CA

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 2022853920

Country of ref document: EP

Effective date: 20240305