WO2015169703A1 - Groupage de véhicules dans l'espace par des services de transport à base de serveurs - Google Patents

Groupage de véhicules dans l'espace par des services de transport à base de serveurs Download PDF

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Publication number
WO2015169703A1
WO2015169703A1 PCT/EP2015/059591 EP2015059591W WO2015169703A1 WO 2015169703 A1 WO2015169703 A1 WO 2015169703A1 EP 2015059591 W EP2015059591 W EP 2015059591W WO 2015169703 A1 WO2015169703 A1 WO 2015169703A1
Authority
WO
WIPO (PCT)
Prior art keywords
vehicles
vehicle
server device
geographical
assistance system
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/EP2015/059591
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German (de)
English (en)
Inventor
Alexander Stege
Martin GRIESBECK
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.)
Aumovio Germany GmbH
Original Assignee
Continental Automotive Technologies GmbH
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 Continental Automotive Technologies GmbH filed Critical Continental Automotive Technologies GmbH
Priority to DE112015002146.9T priority Critical patent/DE112015002146A5/de
Publication of WO2015169703A1 publication Critical patent/WO2015169703A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
    • G08G1/207—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles with respect to certain areas, e.g. forbidden or allowed areas with possible alerting when inside or outside boundaries
    • 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
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation

Definitions

  • the present invention relates to the spatial grouping of vehicles by server-based transport services.
  • the invention provides a driver assistance system, a method for spatial grouping of vehicles by a driver assistance system ⁇ and a program element and a computer ⁇ readable medium on which a program element is stored relates.
  • Such driver assistance systems require information that they receive either from any sensor systems on the vehicle or server services assigned by the vehicle.
  • This Ser ⁇ merits are provided by servers, which in turn receive information of vehicles.
  • a server of a certain group of vehicles is usually arranged to ⁇ , which are located in a particular geographical area.
  • Such a geographic area or geographic area can be divided into fixed tiles that are 30 kilometers by 30 kilometers in size, so that each tile is assigned to a server, creating a cluster of servers.
  • Each server then processes protestmel ⁇ applications that have been reported by the vehicles in its assigned tile, which results in that a large amount of complex computing tasks to be processed by the servers.
  • These traffic reports can then be customized Forwarding vehicles that support highly automated driving. Predictive driving is enabled on the basis of these traffic reports, which in turn increases road safety.
  • the amount of computing power that can be handled by the servers depends, among other things, on the volume of traffic.
  • the driver assistance system in a Ser ⁇ Direction and a vehicle is within a geographical area in which all the ⁇ irri vehicles are to be allocated from the server device to a particular group of vehicles.
  • the geographic area has a certain position and a certain extent.
  • the vehicle is designed to transmit vehicle measurement data to the server device and the server device is designed to determine a new position and a new extent of the geographical area using the received vehicle measurement data.
  • a geographic area or group of vehicles and their surrounding geography may also be referred to as a work area or deployment unit of a server facility.
  • various measurement data by the vehicle for.
  • Such sensor systems for example, the recognition of a traffic signage or but also the recognition of a traffic obstruction possible.
  • other events in the vicinity of the vehicle can also be detected by a sensor system.
  • the collected information is then forwarded in the form of vehicle measurement data to the server device, ie to the backend.
  • the server receives all the data that come from driving testify ⁇ staying in a specific geographical area.
  • the server processes the vehicle measurement data and outputs them subsequently in the form of traffic information, as required, to the individual driving tools ⁇ further in the associated geographical area. This information can then be obtained from the vehicles located in the geographical area and used for auto ⁇ mated driving.
  • the vehicle measurement data it is possible for the vehicle measurement data to be obtained from the server device for a certain radius around the vehicle, so that forward-looking driving is possible after the individualized transmission of the traffic information to a vehicle. As a result, it can be avoided, for example, that the vehicle enters a traffic jam. Spontaneously occurring hazards ⁇ situations can also be bypassed in time.
  • the driver assistance system is designed such that the server device is assigned to a specific group of vehicles that is located in a specific geographical area.
  • the position and / or the extension of the associated one of said server device geographical range of Aen ⁇ changed. This can change both the shape and the size of the geographical area.
  • the shape and size of the geographic area may depend on the computing power provided by the server device. In particular so that the size and shape of the geographical range of the number of speed ⁇ convincing measurement data that are transmitted to the server device may depend. The higher the number of measurement data received by the server device, the higher the computation effort to be applied by the server device .
  • the server direction has a maximum computational capacity, may emp catch only a certain number of measured data from the server device ⁇ or processed.
  • the larger the number of transmitted measurement data the smaller the geographical area allocated to the server device. Geographical areas with large traffic volume ⁇ come are therefore more likely to be smaller than those geographic areas that have a reduced volume of traffic on ⁇ .
  • the server device is capable of autonomously determining the size of the geographical area based on the received vehicle measurement data from the geographical area.
  • the position of the geographic area changes.
  • the geographical area moves along with a specific group of vehicles . This will prevent vehicles from traveling from one geographical area to another geographically. In this transition takes place a reassignment of the vehicle to another group of vehicles and thus to another server instead.
  • Such a transfer is also called a handover.
  • the number of handovers can thus be reduced compared to, for example, fixed tiles. This in turn results in a reduction of the computing power of the server device.
  • the server device ⁇ a plurality of server units, wherein the Serve pure ⁇ direction is performed automatically assigned to each server unit one or more geographic areas.
  • each server unit is assigned a geographic area.
  • the geographical areas are different, depending on the traffic.
  • Server units with high computing power can be assigned, for example, geographical areas with very high traffic ⁇ arise where server units may be associated with ge ⁇ ringerer computing power geographical areas with less traffic. This assignment can also be made depending on the size of the geographical areas.
  • the assignment should be automatic, so that each server unit is just busy. For this, heuristics or restructuringsabCt come tongues into consideration that determines the required processing power for each server unit and ensures that certain maximum Rechenka ⁇ capacities are not exceeded.
  • the geographic areas can be automatically reassigned to different server units, making it possible to build a cluster of disparate servers with different levels of hardware while optimizing each server.
  • the number of handovers that is, the number of vehicles that travel from one geographical area to another geographical area, has an influence on the allocation of the respective server unit. By allowing the geographic area to change position, it is possible that the number of handovers will be reduced. This is advantageous because handovers usually require more computing power.
  • the automatic assignment of the individual server units to the respective geographical areas can be ensured by a central server unit.
  • the central server unit is able to monitor the processing power of example slave server units and to assign specific according to the respective computing capacity geographical Be ⁇ rich. This avoids that a certain maximum computing power of a server unit is exceeded due to an excessive traffic volume or an excessive number of received vehicle measurement data.
  • this flexible division of the work areas offers the advantage that the size of the geographical area can be adapted to the respective demand or to the respective traffic volume. At night, when the traffic volume Ver ⁇ is comparatively small, it may be sufficient Example ⁇ example, if a city is assigned to only a single server unit.
  • each server unit more geographic areas can be assigned. This is particularly useful if the workload of a server is so small unit that provided computer ⁇ capacity is not optimally utilized.
  • the geographical area has an arbitrary shape, and / or is dynamically scalable.
  • the shape may have curved lines.
  • the geographical area covers entire counties or even individual cities. With low traffic ⁇ incidence , z. For example, at night, it is also conceivable that a geographic area is determined by an entire federal state.
  • the shape of the geographical areas can be arbitrary.
  • a grouping of vehicles and thus the creation of a geographic working area can, for. B. take place at a busy intersection.
  • all vehicles that are in the immediate vicinity of this busy intersection be ⁇ assigned to a geographical work area and thus usually a server unit.
  • the geographic area can be dynamically scalable. As a result, the size of the geographical area is variable depending on the traffic volume. The area becomes larger, the smaller the traffic volume becomes. Conversely, the larger the volume of traffic, the smaller the area becomes. If it is too large the volume of traffic or are too small, it can lead to a redistribution of the calculation to the ver ⁇ different server units.
  • the vehicle measurement data comprise information about the spatial arrangement and / or movement of vehicles and / or traffic information. Such information can be detected, for example, via sensor systems located on the vehicle. This information is particularly important when spontaneous events take place in the immediate vicinity of a particular vehicle, which can then be transmitted directly to the associated server unit.
  • a preview area is the area in front of the vehicle that it considers relevant for planning its driving strategy.
  • the preview ranges are taken into account by the server units when grouping the vehicles.
  • Traffic information can also, z. B. be obtained from öf ⁇ lic broadcasting, or other transport services by the respective server unit.
  • the server unit receives and processes all available vehicle measurement data in the assigned geographical area. The entirety of this information can be provided to any vehicle located in the associated geographic area. This information includes all traffic related events in this geographical area. In this way, each individualized vehicle can be provided with a route preview so that any upcoming traffic obstructions can be bypassed in good time.
  • the vehicle measurement data includes information about a possible future arrangement and / or movement of vehicles.
  • Such vehicle data can be obtained for example from the Navi ⁇ navigation systems of the respective vehicles. This is possible since the route ahead of the vehicle, ideally to the destination, is often stored in the navigation system. Thus, therefore, the future position of a vehicle can be determined.
  • the dynamic adaptation of the respective geographic areas is additionally positively influenced by this prediction function since this can predict a possibly imminent adaptation of the shape and the size of the geographic area and thus a redistribution of the computing power. For reasons of data protection, it is possible for the measurement data to be transmitted to the server in anonymous form.
  • the server device based on the vehicle data ⁇ a route preview for highly automated driving ready.
  • the route preview provides the vehicle with all the information needed to route of this vehicle.
  • Vehicles that support high auto ⁇ mati overbased driving can automatically reduce the speed of the vehicle, for example due to an impending accident scene without driver intervention.
  • the same can z. B. apply when the vehicle approaches a jam end. This can increase road safety.
  • the traffic flow can be op ⁇ timiert by vehicles can be directed to specific sites ⁇ around.
  • the extent of the geographical area depends on the number of vehicles located in the geographical area and / or the number of transmitted vehicle measured data.
  • the dynamic grouping of vehicles in a specific geographic area is done by the server units au ⁇ tomatically.
  • vehicles that are close to each other as well as vehicles that have a long distance to ⁇ each other be assigned to a specific group.
  • the size of the geographical area depends on the computational effort or the density of traffic reports or vehicle measurement data and thus also on the number of vehicles located in this geographical area. So it happens that in busy areas, such. In cities, for example, the geographical area is smaller than in rural areas, where traffic is usually low. If the number of transmitted vehicle data too large a redistribution and a new mapping of the geographical Be ⁇ empire can be performed on other server units.
  • Another example is a metropolitan area where there are few vehicles on the streets at night and therefore only one geographic area is provided, with traffic increasing in the morning hours, thus dividing one geographical area into several smaller geographic areas and these are then assigned to several server units. Since the geographical areas can take any form, one can imagine this process as a kind of biological cell division. The newly developed ⁇ schreiben geographical areas are now adjusted to the number of vehicles located therein and thus the number of transmitted vehicle data both in size and in shape.
  • the geographical areas move in those directions in which a large part of the traffic ⁇ move moves. This in turn can trigger the formation of new geographic areas.
  • the server device is configured to form the geographical areas ent ⁇ long road trains. Since streets are areas of high traffic, it may be appropriate for the geographical areas to be formed along such streets. This can for example Be the case on which a traffic jam has formed. In order to supply vehicles that are in the vicinity of the congestion or drive to the end of the jam in time with appropriate Fahr ⁇ zeugmessoire from this geographical area, it is necessary to make the provision of data as efficient as possible. This can be achieved by the fact that the geographical area is concentrated in the shortest time on this congestion ⁇ section and supplies the respective vehicles with ent ⁇ speaking information, so that vehicles that provide highly automated driving and have received such Informa ⁇ tions, automatic reduction the driving speed. Such efficient adaptation to the size and shape of the geographical area to a ver ⁇ traffic technically relevant event is also positively influenced by the dynamic scaling.
  • a method for the spatial grouping of vehicles is also indicated by a driver assistance system, comprising the steps of: associating a server device to a particular group of driving testify ⁇ , which are located within a geographic area be ⁇ ; Transmitting measurement data to a vehicle Serve pure ⁇ direction by a in a geographic area, the server device exploiting Knitting vehicle; Determining a new location and a new extent of the geographic area using the received vehicle measurement data.
  • a program element which, when executed on a processor of the driver assistance system, this instructs the driver assistance system, perform the steps of: associating a server device to be ⁇ voted group of vehicles that are within a geographical range ; Transmitting vehicle measurement data to a server device through a vehicle located in a geographic area of the server device; Determining a new location and a new extent of the geographic area using the received vehicle measurement data.
  • the invention further relates to a computer-readable medium on which a program element is stored.
  • Fig. 1 shows a driver assist system with a vehicle and a server device having a plurality of Serve pure ⁇ units.
  • Fig. 2 shows the division of the geographical areas in
  • Fig. 3 shows the dynamic scaling of geographical
  • Fig. 4 shows a possible arrangement of geographical
  • Fig. 5 shows the formation of geographical areas along streets.
  • FIG. 6 shows a flow chart of the driver assistance system according to an embodiment of the invention.
  • the vehicle 100 has a measuring unit 101 and a transmitting and receiving unit 102.
  • the measuring unit 101 is capable of collecting vehicle measurement data 300 and then transmitting it via the transmitting and receiving unit 102 to the server device 200.
  • the vehicle data 300 are z. B. detected by the vehicle 100 via various sensor devices on the vehicle 100. Such measurement data relate to events in the immediate vicinity of the vehicle 100, such. B. is located in front of the vehicle 100 Bau- Job.
  • the server device 200 collects all vehicle measurement data 300 of the vehicles 100 that are in a certain geographical area.
  • the server device 200 has a plurality of server units 201.
  • the server units 201 are connected to one another so that the data transmission 203 between the individual server units 201 can be wireless and / or cable-supported.
  • server units 204 there is a central server unit 204, for example, distributed computing task on the single serve units pure ⁇ two hundred and first In this way, for example, the computational task is distributed over an entire computing cluster. It is also possible that the server units have 201 different Re ⁇ chenkapazticianen. As a result, the arithmetic task, which depends on the number of incoming vehicle measurement data 300 and thus also on the density of vehicles 100 in a specific geographical area, can be distributed to the individual server units 201 depending on the required computational effort.
  • the server units 201 have a second transmitting and Emp ⁇ capturing unit 202, which is able to receive the vehicle measurement data 300 from the transmitting and receiving unit 102 of the vehicle 100.
  • Each server unit 201 of the server device 200 receives the vehicle measurement data 300 from the respective assigned geographical area. These vehicle measurement data 300 is then processed by the respectively assigned server unit 201 and / or evaluated and then transferred again as scaffoldin ⁇ formation or data for highly automated driving 301 to the transmitting and receiving unit 102 of the vehicle 100. This information or data can then from the vehicle 100, which, for example, supports highly automated driving, be used tocompliezu ⁇ provide a driving assist the driver. By means of such driving assistance, the vehicle 100 can automatically adapt the driving behavior to certain events that have taken place in the surroundings. In this regard, for example, the following scenario is conceivable: A vehicle 100 loses oil and then sends vehicle measurement data 300 to a Server unit 201, which processes this vehicle measurement data 300 and z. B.
  • Fig. 2 shows the division of the federal state of Bavaria into different geographic areas.
  • fixed geographic areas 10 are given.
  • These stationary geographic areas 10 have the form of rectangles and / or squares.
  • Each of these rectangles or tiles is assigned to a server unit 201.
  • the tiles are adjacent one another ist ⁇ by geographical transition regions 403rd Handovers take place at these geographical transition areas 403 as soon as a vehicle 100 drives from a stationary geographical area 10 into another stationary geographic 10.
  • Such an arrangement of stationary geographic areas 10 results in a high number of handovers, which in turn results in a high computation effort of the individual server units 201.
  • the problem is that the geographical areas are fixed or the servers are each assigned a fixed tile. That is, vehicles 100 traveling from one geographic area to another geographic area must be assigned a different server unit 201 upon transfer, since each server unit 201 is assigned a particular geographic area. As a result, a large number of handovers takes place in a geographic area with a high volume of traffic.
  • the constant reassignment of driving 100 to a particular server unit 201 increases the complexity and hence the computational effort of the individual server units 201.
  • the number of handovers can be reduced by not locating the geographical areas, as shown by the example of FIG.
  • the division of the state of Bavaria into a first geographical area 400, a second geographical area 401, and a third geographical area 402 is shown.
  • the first and second geo ⁇ graphic area 400 or 401 with an increased traffic volume are smaller than the third geographical area 402.
  • the first geographical area 400 is smaller than the second geographic region 401, which means that the volume of traffic or the density of vehicles 100 in the first geographic area 400 is higher than in the second geographic area 401.
  • the entire state of Bavaria is covered by three server units 201.
  • the server units 201 receive the vehicle measurement data 300 from the respectively associated geographic areas, so that they can be made available to the vehicle measurement data 300 in individualized form again to the respective vehicles 100 in the assigned geographical area.
  • the vehicles 100 in a geographical area expediently receive information for the area of interest from the respectively assigned server unit 201.
  • vehicles 100 are appropriately grouped in a certain geographic area.
  • the first geographic area 400 is the area with the highest traffic volume and with the highest number of the transmitted vehicle data 300.
  • the second geographic area 401 is a further ⁇ rich Be, in which an increased traffic volume is recorded. For this reason, a geographical area corresponding to the volume of traffic and the number of transmitted over ⁇ vehicle test data 300 is also formed there.
  • the first and second geographic region are 400 and 401, respectively ⁇ circular shaped, but they may also take any other shape.
  • the remaining geographical region or the third geographical area 402 is marked for example by rather Länd ⁇ Liche regions, so that it can be covered by a single server entity two hundred and first
  • an additional geographical area which is assigned to a further server unit 201 may arise.
  • the shape and extent of the geographical areas is arbitrary. This means that constantly and continu ously ⁇ an adaptation of the shape or the extension of a geographical area to the respective predominant Ver ⁇ traffic volume is performed. This is done automatically by the respective associated server unit 201, wherein a central server unit 204 may be provided for the distribution of the computing task.
  • the geographic areas may be involved in the traffic volume.
  • Fig. 4 shows the grouping of vehicles 4 through a on ⁇ distribution of concentrations of the traffic volume in three geographical areas 400, 401 and 402.
  • the shape of the geographical areas fits each of the local traffic to, for example, along streets.
  • the shape of the geographical areas is adjusted in each case so that the lowest possible number of handovers takes place.
  • a handover occurs when a vehicle 100 travels from one geographic area across the geographic transition area 403 to another geographic area. This leads to an increased computing effort of the respectively assigned server unit 201, since when crossing the geographic transition area 403, the vehicle 100 suddenly sends its data to another server unit 201. Therefore, it is very important that the respective geographical areas are adapted in form and extent to the traffic volume, which can reduce the number of handovers.
  • the load may for example take place via a heuristic or expense contemptuous pollution, so that a maximum and / or to any predetermined value of the provided Re ⁇ computing power of the respective server unit 201 is not exceeded.
  • a redistribution of the calculation through the cluster of server units 201 Before it comes to exceed an arbitrarily predetermined maximum processing power of a single server ⁇ unit 201, then a redistribution of the calculation through the cluster of server units 201.
  • a server unit 201 associated with low utilization another geographical area becomes.
  • FIG. 5 shows a road train 5, which illustrates how geographical areas can be formed along streets 5.
  • a road branching is given, in which a grouping of vehicles 4 is divided into two different directions of travel, wherein the movement ⁇ direction of the vehicle groups is indicated by arrows. The grouping of vehicles 4 within the geographical area moves towards the lane junction.
  • a split geographical area 501 occurs, in which two
  • Groupings of vehicles 4 arise.
  • a further server unit is consulted 201 which is assigned to the at ⁇ additionally formed geographic area. Since a highway has few branches, the formation of geographic areas along highways is particularly useful. Here, a grouping of vehicles 4 take place with relatively little computational effort. An elongated formation of the geographical area along the highway is advantageous.
  • the vehicle measurement data 300 includes, among other things, the preview ranges of the individual vehicles 100 located in the geographical area, it is advantageous that as many vehicle measurement data 300 as possible are collected by the server unit 201, processed and forwarded to the individual vehicles 100. This data or information, which includes data for highly automated driving 301, can then be used individually by each individual vehicle 100 in the geographical area in order to provide the driver with driving assistance.
  • z can. B. automatically be prevented by the vehicle 100 that the automatic driving function or highly automated ⁇ sieres driving is activated.
  • the spatial grouping of incoming vehicle measurement data is one of the core tasks of the present driver assistance system.
  • the processing of the received vehicle measurement data 300 by the individual server units 201 takes place, for example, such that it can be recognized by the server unit 201, whether the received traffic jam messages refer to several different or the same congestion or if two vehicles 100, each reporting a detected speed limit, the same or two different signs have recognized.
  • the more vehicle ⁇ measurement data can be recorded 300 from the server unit 201 the better the driving assistance of the vehicle 100 can which supports highly automated driving, adapted to the current traffic situation.
  • the server unit 201 has the complete planned route of a vehicle 100 to its destination available. In this way it is possible that the server unit 201 can predict a certain Ver ⁇ traffic development for a particular geographic area, after which can be optimized and the traffic management of a group of vehicles. 4 Fig. 6 shows a flowchart which the various
  • Steps in the transmission of the vehicle measurement data 300 and the provision of data for highly automated driving 301 represents.
  • the server device 200 associates with a particular grouping of vehicles 4 that are within a geographic area. This dynamic grouping of vehicles 4 takes place z. B. depending on the vehicle density in the geographical area and thus the number of transmitted vehicle measurement data 300 instead.
  • the server unit 201 can a new location and / or a new extent of the geographical area can be determined using the received vehicle measurement data 300.
  • stationary geographic Be ⁇ rich 10 can be achieved by such a dynamic adaptation of the geographical areas that fewer handovers take place and thus a redistribution of the computational task on other server units 201 is avoided, whereby the complexity of the system can be reduced.
  • the constant dynamic adaptation of the extent or the position of the geographic areas is carried out automatically by the server units 201.
  • the distribution of the calculation task is z. B. ensured via a central server unit 204, so that a manual monitoring of the workload of the respective subordinate server units 201 is not required and can be automatically redistributed ⁇ if necessary.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un système d'aide à la conduite (1) qui permet de grouper des véhicules (100) de manière dynamique dans l'espace. Pour cela, on associe le groupe de véhicules (100) à une zone géographique à l'intérieur de laquelle les véhicules (100) peuvent transmettre des données de mesure de véhicules (300) à un système de serveur (200). Le système de serveur (200) traite ces données de mesure de véhicules (300) et les retransmet de manière individualisée aux véhicules (100) qui se trouvent dans cette zone géographique. Ces données peuvent être utilisées, par exemple par des véhicules (100) adaptés à une conduite hautement automatisée, pour fournir une aide à la conduite au conducteur du véhicule (100). La position, l'étendue et la forme de la zone géographique peuvent ainsi être adaptées de manière dynamique par le système de serveur (200) en fonction des données de mesure de véhicules (300) transmises, c'est-à-dire en fonction des conditions de circulation.
PCT/EP2015/059591 2014-05-06 2015-04-30 Groupage de véhicules dans l'espace par des services de transport à base de serveurs Ceased WO2015169703A1 (fr)

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DE112015002146.9T DE112015002146A5 (de) 2014-05-06 2015-04-30 Räumliche Gruppierung von Fahrzeugen durch serverbasierte Verkehrsdienste

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DE102014208465.2A DE102014208465A1 (de) 2014-05-06 2014-05-06 Räumliche Gruppierung von Fahrzeugen durch serverbasierte Verkehrsdienste
DE102014208465.2 2014-05-06

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