EP0880120A2 - Méthode pour détecter et signaler des données de posiotn de trafic - Google Patents

Méthode pour détecter et signaler des données de posiotn de trafic Download PDF

Info

Publication number
EP0880120A2
EP0880120A2 EP98108043A EP98108043A EP0880120A2 EP 0880120 A2 EP0880120 A2 EP 0880120A2 EP 98108043 A EP98108043 A EP 98108043A EP 98108043 A EP98108043 A EP 98108043A EP 0880120 A2 EP0880120 A2 EP 0880120A2
Authority
EP
European Patent Office
Prior art keywords
expected
traffic situation
actual
situation data
time
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.)
Granted
Application number
EP98108043A
Other languages
German (de)
English (en)
Other versions
EP0880120B1 (fr
EP0880120A3 (fr
Inventor
Gerhard Nöcker
Malte Rödiger
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.)
Mercedes Benz Group AG
Original Assignee
DaimlerChrysler AG
Daimler Benz AG
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 DaimlerChrysler AG, Daimler Benz AG filed Critical DaimlerChrysler AG
Publication of EP0880120A2 publication Critical patent/EP0880120A2/fr
Publication of EP0880120A3 publication Critical patent/EP0880120A3/fr
Application granted granted Critical
Publication of EP0880120B1 publication Critical patent/EP0880120B1/fr
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination

Definitions

  • the invention relates to a method for detecting and Notification of traffic situation data of a route network by sample vehicles, according to the procedure in the respective sample vehicle an automatic position determination at predefinable times is carried out and depending on it related traffic situation data be recorded and reported.
  • traffic situation data e.g. for an automotive road network, determined based on infrastructure.
  • traffic situation data of measuring devices in the form of Induction loops recorded along the path network under consideration and forwarded via signal cables to a control center, where they evaluated using special hardware and software, and in particular examined for traffic accidents will.
  • infrastructure-based procedures are comparative complex and also enable the detection of malfunctions only when their effects affect at least one Show measuring point of the route network.
  • sample vehicles also known as “floating cars”
  • sample vehicle should to be expressed that it is enough to comparatively low proportion of all vehicles using the road network in this way to collect traffic situation data, i.e. from route-related, to assess the traffic situation in the concerned Data relevant to the network area, as such sample vehicles to interpret.
  • the report of the traffic situation data preferably takes place via a radio communication link, e.g. a mobile network, to a stationary central office and / or others Vehicles.
  • a known difficulty in these methods lies in that the usually during each traffic situation data reporting process Amount of data transferred based on capacity existing radio networks is relatively large, so that there is radio network congestion can come. It also requires processing the computing effort corresponding to the large amounts of data.
  • DE 195 21 919 A1 proposed a method of the type mentioned at the outset, which reduces the amount of data to be transferred is that the data recorded by the respective sample vehicle vehicle and position data of one or several vehicle and position data classes that a specific correspond to typical vehicle behavior and the assigned class as the current vehicle behavior pattern with the position data for each reporting process is transmitted, especially to a traffic computer. With that can be achieved that not with each reporting process complete data records of the vehicle and position data have to be, but only the assigned vehicle behavior pattern in the form of an identifier that relates to the current Class affiliation indicates, together with the position data of the sample vehicle.
  • the vehicles are in exchange groups divided, vehicles of a respective exchange group among themselves vehicle data, i.e. Data about the environmental and / or operating state of the vehicle, and position data, i.e. Data about the position of the respective vehicle at any time.
  • vehicle data i.e. Data about the environmental and / or operating state of the vehicle
  • position data i.e. Data about the position of the respective vehicle at any time.
  • Each exchange group transmits the prepared vehicle and Position data of an exchange group to a central computer, the position data regularly after a certain route and / or after the expiry of a predetermined Time period are transmitted.
  • Can be provided for the vehicle data be to specify tolerance values and these together with the Position data to be transmitted only if part of them exceeds the specified tolerance values.
  • the invention is a technical problem of providing based on a method of the type mentioned at the beginning, with which traffic situation data reliably and with comparatively little Let effort be charged.
  • the invention solves this problem by providing a Method with the features of claim 1.
  • this method becomes the considered route network in the sample vehicles together with trip duration data for those for sections of the route network expected travel time saved, e.g. as digital Data in an electronic memory.
  • each automatic position determination e.g. at certain intervals or when certain places in the route network are reached or upon occurrence of one or more other specified trigger criteria can be triggered, then the determined, actual Position with the data based on the saved trip duration data expected position and / or the actual Trip duration with the trip duration data stored on the basis of the saved partial route compared to the expected journey time.
  • the actual journey time is determined as the time span between the current and the previous position determination process, while the expected journey time directly can be read from the stored trip duration data.
  • the expected one Position is based on that from the previous one Position determination process known vehicle position thereby determines that that point of the subsequently traveled route network section visited on the basis of the stored route network for which the saved, expected travel time the period of time until the current position determination process corresponds.
  • a traffic situation data reporting process is then carried out triggered at most if the actual position and / or travel time by more than a respective, predeterminable Threshold deviates from the expected position or travel time.
  • traffic situation data reporting processes are not carried out with this method, as long as the sample vehicle goes through with one the threshold value that can be specified within the scope of the tolerance for the individual Sections of the route network stored trip duration data emotional.
  • the stored ones expediently correspond Partial trip duration data of a trouble-free traffic situation.
  • the absence of traffic situation data reporting processes by a each sample vehicle is thus for a possible headquarters and / or for the other vehicles on the road network an indication of trouble-free traffic. That for recognition unnecessary transmission of route-related traffic disruptions Data from a respective sample vehicle in traffic-free Situations is avoided by this procedure which overall is considerable the amount of data to be transferred reduced, so that the data communication on one usual mobile communication link, e.g. a digital one Radio telephone network, can take place.
  • one usual mobile communication link e.g. a digital one Radio telephone network
  • Threshold value for the determined position or travel duration deviations not unchangeable is given as a variable, which at least depends on the variance of the vehicle speed depends. This allows different driving conditions to be relatively easily Are taken into account, e.g. at typically a fluctuating vehicle speed a traffic situation data reporting process only in the event of a major deviation from the actual Position or travel time from the expected position or travel time than with lower speed fluctuations is triggered. By appropriately variable selection of the threshold value systematic deviations can also be taken into account, which may be due, for example, to the fact that for a more sporty driver tends to be less than that expected travel times and vice versa for a more cautious Driver result in longer than the expected journey times.
  • Traffic situation data relating to a specific traffic disruption suggest only from a receiving center or receiving other vehicles as actual traffic disruption interpreted if several related traffic situation data messages from the sample vehicle or vehicles be received within a predefinable confirmation time. This offers protection against accidental or false reports false traffic disturbance reports by an atypically driven Sample vehicle.
  • the device shown in Fig. 1 is in a respective Sample vehicle installed, with the route-related data, i.e. Traffic situation data, without infrastructure measures on the track side can be recorded and reported.
  • the device has a conventional hardware structure that a vehicle-side Comprises on-board computer 1 to which a route network memory 2, a vehicle position measuring device in the form of a GPS receiver 3 or alternatively another position determining device and a radio telephone 4 are connected. Via the GPS receiver 3, the on-board computer 1 is able in the usual way to the vehicle position automatically at the desired times determine.
  • the on-board computer 1 determines the vehicle position within a route network that can be driven by the vehicle, e.g. one Motorway network, this navigable road network in digital Form is available in the path network memory 2 is stored.
  • the Radio telephone 4 serves as a vehicle-side communication terminal for communication of the on-board computer 1 with a not shown stationary headquarters. In particular, the communication terminal 4 e.g. a D-Netz telephone or a so-called Moda
  • the route network memory contains 2 not only the data on the structure of the navigable Route network including distance information between individual route network points, but also journey time data, with those of a respective section of the route network for driving on them normally, i.e. without existing traffic disruptions, expected journey time is assigned.
  • the expected journey time can, for example empirically determined and in advance both the existing one Sample vehicles as well as a possible stationary Headquarters and the other vehicles traveling on the road network to provide.
  • the expected travel time does not need as an unchangeable, fixed size, but will be preferred as one of at least the time and / or the date dependent variable assigned. This can take into account that the travel time to be expected for a certain section generally both fluctuates in the time of day and depends on whether the trip takes place on a weekday or at the weekend and / or whether with winter or summer road conditions is to be expected, what each corresponding impact on the average vehicle speed and thus the expected journey time.
  • FIG. 2 roughly illustrates in a schematic flow diagram the essential sequence of the method that can be carried out by the device of FIG. 1 for recording and reporting traffic situation data by a respective sample vehicle.
  • a time period t p is specified, after which a new position determination is to be carried out.
  • the position determinations carried out at predeterminable times can also be carried out when the vehicle has reached certain route network points, for example the end point of a respective route network section to which a certain, expected travel time is assigned.
  • a triggering of position determination processes can be provided by specific events, especially, for example, after a strong braking process with subsequent actuation of the hazard warning lights as the suspected end of a traffic jam.
  • information about the triggering event is then transmitted in addition to the determined position.
  • an event counter with a count value i which detects the number of position determinations carried out, is initially set to zero.
  • the on-board computer 1 determines, as a function f (x i-1 , t p ) of the position x i-1 measured last time and the time t p that has elapsed since, that distance w i starting from the vehicle position x i-1 measured last time from the vehicle During the period of time t p that has elapsed in the meantime, on the basis of the expected travel time stored for the relevant, traveled section of the route network, in the case of trouble-free traffic, the expected travel distance is to be expected as the distance traveled by the vehicle.
  • both the actual route s i and the expected route w i are not to be understood as mere distance information, but also contain the information about the associated route network section that the vehicle has traveled since the previous position determination.
  • the measured route s i and the determined route w i to be expected are to be regarded as different from one another if they have the same distances, but relate to route network sections running in different directions.
  • a threshold value in the form of a percentage deviation ds i is defined in the position determination step 14, by which the actual distance s i may deviate from the determined distance w i to be expected, without this leading to the triggering of a traffic situation data reporting process.
  • This amount of deviation ds i is preferably not unchangeable, but is newly specified for each position determination process as a variable, which depends in a predetermined manner on vehicle condition and / or vehicle environment parameters.
  • the permissible amount of deviation ds i is determined as a function of the variance of the current speed of the sample vehicle, so that it can be set to a higher value, for example, in the case of a strongly fluctuating vehicle speed than in the case of lower speed fluctuations, in order to unnecessarily frequent traffic situation data reporting processes in the event of temporarily larger fluctuations in the vehicle speed to avoid.
  • the on-board computer 1 determines whether the percentage deviation of the difference between the actually traveled distance s i and the expected distance w i determined for the partial route traveled has exceeded the predetermined deviation amount ds i . If this is not the case, the traffic situation data is not reported and the process sequence returns before the query step 12, whereupon a new position determination event is awaited. If, on the other hand, the permissible, predetermined deviation amount ds i is exceeded, the on-board computer 1 evaluates this as a release of a traffic situation data reporting process (step 16).
  • the actual triggering of the relevant reporting process can be linked to further conditions, for example, whether an abrupt braking process or the setting of the hazard warning lights is observed by the on-board computer 1, which can indicate that a traffic jam is beginning and therefore the automatic triggering of a traffic situation data reporting process should trigger, and / or whether a fuel cap or a door of the vehicle is opened, which indicates a stop caused by the driver, which is not caused by the traffic situation and therefore does not require the initiation of a traffic situation data reporting process.
  • a traffic situation data reporting process is triggered in process step 16 due to the fact that the specified deviation amount ds i has been exceeded or only when other conditions have been met, the present, event-discrete method requires fewer data transmission processes via the mobile communication link 5, which imposes a burden on them and the associated cost compared to the above-mentioned conventional procedures significantly reduced.
  • a process cycle is completed when cycle end 17 is reached, and the process returns to query step 12 for a new cycle as long as no system shutdown has taken place.
  • the rough process shown in FIG. 2 can also be further refined as required.
  • the reliability of the traffic situation report can be increased by means of an individually adjustable factor which, from the start of the journey, ie from the time of initialization t 0 , constantly compares the actual journey time with the expected journey time, taking systematic deviations into account.
  • Such deviations can exist, for example, in such a way that the actual driving times tend to be shorter for a sample vehicle equipped with a sporty driver than the expected driving times, while conversely, for a more careful driver, the actual driving time will tend to be longer than the expected driving time.
  • the after triggering a corresponding reporting process in step 16 from the on-board computer 1 via the communication terminal 4 and the Cellular route 5 reported traffic situation data to the stationary head office and / or directly as a broadcast to everyone or to certain, e.g. those near the sending sample vehicle located vehicles transmitted. Can on the receiver side the reported traffic situation data from the head office or notified vehicles evaluated in the desired manner will.
  • the evaluation can e.g. as protection against unique, accidental Erroneous reports include the measure that one of one certain traffic situation data reporting process reported traffic disruption is only counted as such if it is within a determined, predefinable observation period by a traffic situation data message same content that is confirmed a later position determination of the same or of another Requires sample vehicle.
  • the identical reports from requires multiple sample vehicles to report traffic incidents by a single, improperly driven sample vehicle to avoid.
  • advantageous evaluation measure for the head office and / or the individual vehicles are provided with the ability that if repeated over a long period of time Identical traffic situation data messages are received a permanent deviation of the actual journey time from the stored, expected travel time for the concerned Partial signal this fact as an indication of a expected new travel time for this section is evaluated.
  • the head office and / or the vehicles involved In this case, overwrite the one for the relevant section previously stored, expected journey time with the actual transmitted by the traffic situation data messages Travel time as the new expected travel time.
  • This Measure it is also possible to partial sections of the stored Because of the network, so far no expected journey time was assigned for the first time with such an expected To document journey time.

Landscapes

  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
EP98108043A 1997-05-24 1998-05-02 Méthode pour détecter et signaler des données de position de trafic Expired - Lifetime EP0880120B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19721750A DE19721750A1 (de) 1997-05-24 1997-05-24 Verfahren zur Erfassung und Meldung von Verkehrslagedaten
DE19721750 1997-05-24

Publications (3)

Publication Number Publication Date
EP0880120A2 true EP0880120A2 (fr) 1998-11-25
EP0880120A3 EP0880120A3 (fr) 2000-09-20
EP0880120B1 EP0880120B1 (fr) 2004-06-30

Family

ID=7830370

Family Applications (1)

Application Number Title Priority Date Filing Date
EP98108043A Expired - Lifetime EP0880120B1 (fr) 1997-05-24 1998-05-02 Méthode pour détecter et signaler des données de position de trafic

Country Status (5)

Country Link
US (1) US6259377B1 (fr)
EP (1) EP0880120B1 (fr)
JP (1) JPH1166487A (fr)
DE (2) DE19721750A1 (fr)
ES (1) ES2221094T3 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1217331A1 (fr) * 2000-12-20 2002-06-26 Pioneer Corporation Méthode et système pour fixer le temps de trajet et méthode et système de calcul de route et son utilisation
DE10261172A1 (de) * 2002-12-20 2004-07-15 Daimlerchrysler Ag Verfahren und System zur zentralenbasierten, zeitlich vorausschauende Störungserkennung durch Störflanken-Detektion mittels abschnittsbezogener Reisezeitenschätzung
WO2007092549A1 (fr) * 2006-02-08 2007-08-16 Telenav, Inc. Systeme de navigation et d'echantillonnage intelligent du trafic distribue en temps reel
EP1835473A3 (fr) * 2001-02-09 2007-12-05 MINTZ, Yosef Procédé et système amélioré pour cartographier des prédictions de trafic en respectant les applications télématiques et de guidage routier
CN103035123A (zh) * 2012-12-25 2013-04-10 中国科学院深圳先进技术研究院 一种交通轨迹数据中异常数据获取方法及系统
WO2013139589A1 (fr) * 2012-03-19 2013-09-26 Bayerische Motoren Werke Aktiengesellschaft Procédé de commande de la présentation de données d'information de trafic pour actualiser une information de trafic routier

Families Citing this family (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6680694B1 (en) * 1997-08-19 2004-01-20 Siemens Vdo Automotive Corporation Vehicle information system
SE512895C2 (sv) * 1998-08-07 2000-05-29 Dinbis Ab Metod och anordning för ruttstyrning av trafik
DE19931152C2 (de) * 1999-07-06 2001-05-31 Volkswagen Ag Verfahren und Vorrichtung zum Erfassen und Weiterleiten von Verkehrssituationen
JP2001067594A (ja) * 1999-08-31 2001-03-16 Hitachi Ltd 放送方法、及び、装置、ならびに、交通情報編集装置、及び、交通情報提示システム
DE50003769D1 (de) * 1999-12-23 2003-10-23 Volkswagen Ag Verfahren zur ermittlung von verkehrsinformationen sowie zentrale und endgerät
US6744383B1 (en) 2000-02-01 2004-06-01 At&T Wireless Services, Inc. Intelligent roadway system
WO2002003163A2 (fr) * 2000-06-30 2002-01-10 Harrison Thomas D Procede et dispositif pour favoriser une conduite sure et responsable
DE10041099C2 (de) * 2000-08-22 2002-10-24 Bosch Gmbh Robert Verfahren zur Übertragung von Datenpaketen zwischen Kraftfahrzeugen
DE10133387B4 (de) 2001-07-10 2019-01-03 Robert Bosch Gmbh Verfahren zur Erfassung von Verkehrsdaten für ein Fahrzeug, insbesondere ein Kraftfahrzeug, und Einrichtung
DE10252768B4 (de) * 2002-11-13 2008-02-28 Daimler Ag Verfahren zum Erstellen und Senden von verkehrsrelevanten Daten
KR20040064634A (ko) 2003-01-10 2004-07-19 가부시끼가이샤 히다치 세이사꾸쇼 네비게이션 서버, 네비게이션의 표시방법
US6810321B1 (en) 2003-03-17 2004-10-26 Sprint Communications Company L.P. Vehicle traffic monitoring using cellular telephone location and velocity data
JP4396380B2 (ja) * 2004-04-26 2010-01-13 アイシン・エィ・ダブリュ株式会社 交通情報の送信装置及び送信方法
JP2006134158A (ja) * 2004-11-08 2006-05-25 Denso Corp 区間旅行時間情報収集システム及び車載装置
JP2007114857A (ja) * 2005-10-18 2007-05-10 Honda Motor Co Ltd 交通情報処理装置
CN101331383B (zh) * 2006-05-16 2011-11-16 松下电器产业株式会社 交通信息提供装置、方法
US7813877B2 (en) 2006-10-30 2010-10-12 Toyota Motor Engineering & Manufacturing North America, Inc. Relevancy check for vehicle safety messages using a path history
WO2009030524A1 (fr) 2007-08-29 2009-03-12 Continental Teves Ag & Co. Ohg Actualisation personnalisée de cartes de navigation numériques
WO2009106780A2 (fr) * 2008-02-29 2009-09-03 France Telecom Detection et referencement d'elements de parcours
US8718928B2 (en) * 2008-04-23 2014-05-06 Verizon Patent And Licensing Inc. Traffic monitoring systems and methods
US8799201B2 (en) 2011-07-25 2014-08-05 Toyota Motor Engineering & Manufacturing North America, Inc. Method and system for tracking objects
TWI471582B (zh) * 2012-03-30 2015-02-01 Nat Univ Tsing Hua 路側資料交換網路與其方法
CN104332048B (zh) * 2014-10-27 2016-04-06 东南大学 一种城市道路交通状态阈值确定方法
US10013820B2 (en) * 2015-12-15 2018-07-03 Freeport-Mcmoran Inc. Vehicle speed-based analytics
CN113129584B (zh) * 2020-01-15 2023-04-14 中移(苏州)软件技术有限公司 载客人数的确定方法、装置、设备及存储介质

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3700552B4 (de) * 1987-01-10 2005-06-02 Robert Bosch Gmbh Verfahren zur Ausgabe von Wegeinformationen für Fahrer von Landfahrzeugen und Informationsausgabesystem
JP3193479B2 (ja) * 1992-10-12 2001-07-30 アルパイン株式会社 経路誘導方法
US5539645A (en) * 1993-11-19 1996-07-23 Philips Electronics North America Corporation Traffic monitoring system with reduced communications requirements
FR2718874B1 (fr) * 1994-04-15 1996-05-15 Thomson Csf Procédé de surveillance de trafic pour la détection automatique d'incident de véhicules.
DE19521917C2 (de) * 1994-11-28 2001-03-01 Mannesmann Ag Verfahren und Vorrichtung zur Positionsbestimmung eines Fahrzeugs
DE19517309C2 (de) * 1994-11-28 1997-04-03 Mannesmann Ag Verfahren zur Reduzierung eines aus den Fahrzeugen einer Stichprobenfahrzeugflotte zu übertragenden Datenmenge
JP3527791B2 (ja) * 1995-04-28 2004-05-17 トヨタ自動車株式会社 不調アンテナ検出方法及び装置
DE19526148C2 (de) * 1995-07-07 1997-06-05 Mannesmann Ag Verfahren und System zur Prognose von Verkehrsströmen
US5933100A (en) * 1995-12-27 1999-08-03 Mitsubishi Electric Information Technology Center America, Inc. Automobile navigation system with dynamic traffic data
DE19643454C2 (de) * 1996-10-10 2003-08-21 Mannesmann Ag Verfahren und Vorrichtung zur Übermittlung von Daten zur Verkehrslagebeurteilung

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1217331A1 (fr) * 2000-12-20 2002-06-26 Pioneer Corporation Méthode et système pour fixer le temps de trajet et méthode et système de calcul de route et son utilisation
US6915207B2 (en) 2000-12-20 2005-07-05 Pioneer Corporation Method and system for setting travel time and method and system for route calculation with use thereof
EP1835473A3 (fr) * 2001-02-09 2007-12-05 MINTZ, Yosef Procédé et système amélioré pour cartographier des prédictions de trafic en respectant les applications télématiques et de guidage routier
DE10261172A1 (de) * 2002-12-20 2004-07-15 Daimlerchrysler Ag Verfahren und System zur zentralenbasierten, zeitlich vorausschauende Störungserkennung durch Störflanken-Detektion mittels abschnittsbezogener Reisezeitenschätzung
WO2004059592A1 (fr) * 2002-12-20 2004-07-15 Daimlerchrysler Ag Procede et systeme pour reconnaitre des perturbations prevues dans le temps, comprenant une centrale, par detection de flancs de brouillage au moyen de prevision de temps de trajet decoupee en sections
DE10261172B4 (de) * 2002-12-20 2005-05-25 Daimlerchrysler Ag Verfahren und System zur zentralenbasierten, zeitlich vorausschauende Störungserkennung durch Störflanken-Detektion mittels abschnittsbezogener Reisezeitenschätzung
WO2007092549A1 (fr) * 2006-02-08 2007-08-16 Telenav, Inc. Systeme de navigation et d'echantillonnage intelligent du trafic distribue en temps reel
US8306556B2 (en) 2006-02-08 2012-11-06 Telenav, Inc. Intelligent real-time distributed traffic sampling and navigation system
WO2013139589A1 (fr) * 2012-03-19 2013-09-26 Bayerische Motoren Werke Aktiengesellschaft Procédé de commande de la présentation de données d'information de trafic pour actualiser une information de trafic routier
US9528841B2 (en) 2012-03-19 2016-12-27 Bayerische Motoren Werke Aktiengesellschaft Method for controlling the provision of traffic informational data in order to update traffic information
CN103035123A (zh) * 2012-12-25 2013-04-10 中国科学院深圳先进技术研究院 一种交通轨迹数据中异常数据获取方法及系统
CN103035123B (zh) * 2012-12-25 2016-01-20 中国科学院深圳先进技术研究院 一种交通轨迹数据中异常数据获取方法及系统

Also Published As

Publication number Publication date
EP0880120B1 (fr) 2004-06-30
ES2221094T3 (es) 2004-12-16
DE59811617D1 (de) 2004-08-05
EP0880120A3 (fr) 2000-09-20
DE19721750A1 (de) 1998-11-26
US6259377B1 (en) 2001-07-10
JPH1166487A (ja) 1999-03-09

Similar Documents

Publication Publication Date Title
EP0880120B1 (fr) Méthode pour détecter et signaler des données de position de trafic
DE19643454C2 (de) Verfahren und Vorrichtung zur Übermittlung von Daten zur Verkehrslagebeurteilung
EP0879459B1 (fr) Procede pour l'obtention de donnees relatives a une situation de trafic
EP2909815B1 (fr) Procédé et installations de soulèvement de péage conditionné par le trafic
EP0815547B2 (fr) Procede et dispositif de determination d'informations dynamiques sur la circulation
EP0879460B1 (fr) Procede et dispositif pour l'obtention de donnees relatives a une situation de trafic
DE60104902T2 (de) Verkehrsüberwachungssystem
EP0943137B1 (fr) Mode de tranmission de donnees locales et de donnees de mesure par terminal, notamment par un terminal telematique, a destination d'une centrale de trafic
EP1026649B1 (fr) Procédé et dispositif de préparation d'information de circulation
EP1198697B1 (fr) Procede et dispositif de gestion de perturbations de la circulation pour appareils de navigation
EP0731400B1 (fr) Méthode et dispositif pour réduire la quantité de données transmise par un véhicule
EP1466140A1 (fr) Procede de determination d'un temps de trajet
DE10063588A1 (de) Verfahren zum Übermitteln von Daten zur Verkehrslagebeurteilung und ein Endgerät in einem mobilen Detektor
DE102007030839B4 (de) Sicherheitssystem und Verfahren zum Betreiben des Sicherheitssystems
DE10025039C2 (de) Verfahren zur Ermittlung von Verkehrsregelungsphasendauern
DE102018201273A1 (de) Verfahren zum Überwachen eines Fahrstils eines Fahrers eines Kraftfahrzeugs und Kraftfahrzeug
DE102007027651A1 (de) Sicherheitssystem für ein Kraftfahrzeug und Verfahren zum Betreiben des Sicherheitssystems, ortfeste Kommunikationsvorrichtung und Verfahren zum Betreiben der ortfesten Kommunikationsvorrichtung
DE10252768B4 (de) Verfahren zum Erstellen und Senden von verkehrsrelevanten Daten
WO2005000631A1 (fr) Dispositif embarque permettant d'envoyer des messages au moyen d'une unite concue pour determiner des frais de route et procede associe
EP1657691A1 (fr) Procédé et système pour déterminer information de trafic
DE102020122638A1 (de) Verfahren zur Prädiktion eines Aufenthaltsorts und/oder eines Fahrverhaltens eines Ego-Fahrzeugs
DE102021106012B4 (de) Verfahren und zentrale Datenverarbeitungseinrichtung zum Bereitstellen einer Gefahreninformation über ein Objekt
DE69623546T2 (de) Verfahren zur Fahrhilfe und dazu ausgerüstetes Fahrzeug
DE102023209437A1 (de) Verfahren und Vorrichtung zum Verhindern von Kollisionen von Kraftfahrzeugen
DE102023116822A1 (de) Verfahren zum verkehrsregelverstoßabhängingen Steuern einer Fahrzeugassistenzfunktion, entsprechendes Assistenzsystem und Kraftfahrzeug

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

AK Designated contracting states

Kind code of ref document: A2

Designated state(s): DE ES FR GB IT

AX Request for extension of the european patent

Free format text: AL;LT;LV;MK;RO;SI

RAP1 Party data changed (applicant data changed or rights of an application transferred)

Owner name: DAIMLERCHRYSLER AG

PUAL Search report despatched

Free format text: ORIGINAL CODE: 0009013

AK Designated contracting states

Kind code of ref document: A3

Designated state(s): AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE

AX Request for extension of the european patent

Free format text: AL;LT;LV;MK;RO;SI

17P Request for examination filed

Effective date: 20000912

AKX Designation fees paid

Free format text: DE ES FR GB IT

17Q First examination report despatched

Effective date: 20021119

GRAP Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOSNIGR1

GRAS Grant fee paid

Free format text: ORIGINAL CODE: EPIDOSNIGR3

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

AK Designated contracting states

Kind code of ref document: B1

Designated state(s): DE ES FR GB IT

REG Reference to a national code

Ref country code: GB

Ref legal event code: FG4D

Free format text: NOT ENGLISH

REF Corresponds to:

Ref document number: 59811617

Country of ref document: DE

Date of ref document: 20040805

Kind code of ref document: P

GBT Gb: translation of ep patent filed (gb section 77(6)(a)/1977)

Effective date: 20040831

REG Reference to a national code

Ref country code: ES

Ref legal event code: FG2A

Ref document number: 2221094

Country of ref document: ES

Kind code of ref document: T3

ET Fr: translation filed
PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: GB

Payment date: 20050425

Year of fee payment: 8

PLBE No opposition filed within time limit

Free format text: ORIGINAL CODE: 0009261

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: FR

Payment date: 20050512

Year of fee payment: 8

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: ES

Payment date: 20050517

Year of fee payment: 8

26N No opposition filed

Effective date: 20050331

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: GB

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20060502

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: ES

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20060503

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: IT

Payment date: 20060531

Year of fee payment: 9

GBPC Gb: european patent ceased through non-payment of renewal fee

Effective date: 20060502

REG Reference to a national code

Ref country code: FR

Ref legal event code: ST

Effective date: 20070131

REG Reference to a national code

Ref country code: ES

Ref legal event code: FD2A

Effective date: 20060503

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: FR

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20060531

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IT

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20070502

REG Reference to a national code

Ref country code: DE

Ref legal event code: R085

Ref document number: 59811617

Country of ref document: DE

Effective date: 20111210

REG Reference to a national code

Ref country code: DE

Ref legal event code: R081

Ref document number: 59811617

Country of ref document: DE

Owner name: BURANI CONSULTING LIMITED LIABILITY COMPANY, W, US

Free format text: FORMER OWNER: DAIMLER AG, 70327 STUTTGART, DE

Effective date: 20120418

Ref country code: DE

Ref legal event code: R081

Ref document number: 59811617

Country of ref document: DE

Owner name: BURANI CONSULTING LIMITED LIABILITY COMPANY, US

Free format text: FORMER OWNER: DAIMLER AG, 70327 STUTTGART, DE

Effective date: 20120418

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: DE

Payment date: 20170531

Year of fee payment: 20

REG Reference to a national code

Ref country code: DE

Ref legal event code: R071

Ref document number: 59811617

Country of ref document: DE