EP3777107A1 - Procédé de détermination d'informations de trafic - Google Patents

Procédé de détermination d'informations de trafic

Info

Publication number
EP3777107A1
EP3777107A1 EP19720430.8A EP19720430A EP3777107A1 EP 3777107 A1 EP3777107 A1 EP 3777107A1 EP 19720430 A EP19720430 A EP 19720430A EP 3777107 A1 EP3777107 A1 EP 3777107A1
Authority
EP
European Patent Office
Prior art keywords
monitoring device
sensors
fleet vehicles
traffic information
fleet
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.)
Pending
Application number
EP19720430.8A
Other languages
German (de)
English (en)
Inventor
Christian MERFELS
Constanze HUNGAR
Bernd Rech
Thilo Schaper
Daniel WILBERS
Niklas KOCH
Florian Haubner
Simon Seitle
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.)
Audi AG
Volkswagen AG
Original Assignee
Audi AG
Volkswagen 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 Audi AG, Volkswagen AG filed Critical Audi AG
Publication of EP3777107A1 publication Critical patent/EP3777107A1/fr
Pending legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • 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
    • 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
    • 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]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/56—Provisioning of proxy services
    • H04L67/565—Conversion or adaptation of application format or content
    • H04L67/5651—Reducing the amount or size of exchanged application data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/2866—Architectures; Arrangements
    • H04L67/2895—Intermediate processing functionally located close to the data provider application, e.g. reverse proxies

Definitions

  • the invention relates to a method for determining traffic information according to the preamble of the independent method claim.
  • the invention relates to a corresponding system for determining traffic information according to the preamble of the independent method claim.
  • Monitoring device a so-called backend device provide.
  • Map elements The maps updated on the monitoring device are then redistributed to the fleet vehicles. At present it is assumed that the
  • Vehicle fleet covers all map areas sufficiently, so that all areas can be kept up to date. In reality, however, it is not the case, since only a few fleet vehicles have the necessary sensors and / or computing power to
  • the invention is therefore based on the object at least partially overcome a known from the prior art disadvantage in the determination of traffic information.
  • the invention is a system for the determination of
  • the object of the invention is achieved by a method for determining
  • Traffic information with the features of the independent method claim in particular from the characterizing part, and by a corresponding system with the features of the independent device claim, in particular from
  • the invention provides a method for determining traffic information, which is executed by means of a central monitoring device, a so-called backend device, which is in communication with a plurality of fleet vehicles in order to obtain traffic information from the fleet vehicles, wherein the
  • Monitoring device targeted at communication with the fleet vehicles
  • Messn to update certain map sections transmitted to the fleet vehicles.
  • the monitoring device takes into account the quality of sensors with which the individual fleet vehicles are equipped in the transmission of targeted measurement requests.
  • the traffic information according to the invention comprises information of all kinds that may relate to a geographical map, including, for example: route, number, width and geometric configuration of lanes, incline or inclination of the road,
  • Presence of roundabouts type of roads: highway, motorway, urban area, quality and frequency of roads, traffic signs, traffic signs, speed limits, current construction, fences, detours, etc.
  • the idea of the invention lies in the fact that the determination of traffic information, the targeted influencing of measurement requests by the selection of the appropriate sensors of the fleet vehicles can be significantly improved.
  • the information coming from inappropriate sensors can provide some uncertainty, inaccuracy, error, or even no results. Since vehicles today have a wide variety of different makes and models and different features, not every vehicle of the same grade can provide specific traffic information. Polling vehicles with inappropriate sensing would therefore be a waste of existing resources.
  • the monitoring device can generate targeted measurement requests, which relate to the information which routes or
  • Map sections should be updated.
  • the monitoring device can take into account certain criteria for the quality of the map sections that are already recorded in the map, such as the age, the accuracy or the uncertainty of the map sections.
  • the monitoring device can take into account historical data that provides information on areas or lanes that are rarely traveled. If within these areas distances are identified for which
  • Updates are of interest, they may receive a special weighting.
  • Map areas can be created regularly, for example periodically, automatically or semi-automatically by the monitoring device. Alternatively, certain measurement requests can be taken into account, manually, for example from one
  • the measurement requests are therefore to be updated map elements, d. H.
  • Georeferences which the monitoring device can communicate to the fleet vehicles in various formats. For one, it is possible that the fleet vehicles the
  • concrete alternative route suggestions can be specified by taking into account the map elements to be updated.
  • the selection of the individual fleet vehicle according to the invention is made dependent on the sensors installed in the specific fleet vehicle, including their measurement accuracy or visibility. For example, it plays a role to what extent the vehicle sensors can be influenced, such as, for example, the focusing of a camera on specific elements.
  • the monitoring device can express the measurement requests in a targeted manner. If the monitoring device is aware of the routes of fleet vehicles, for example due to the use of an online route planner, then a targeted measurement request can be sent directly to these fleet vehicles. That could be especially automatic
  • the monitoring device could then selectively influence the route of the fleet vehicles, among other things by using parallel lanes. If, however, the route of the fleet vehicle of the monitoring device is not known, measurement requests can generally be communicated. In this case, the fleet vehicle can independently decide to what extent it can fulfill the measurement requirements. Criteria for this could include, for example, the energy consumption for the route, the travel time for the route, the quality of the connectivity (mobile radio), the passing of tourist destinations. For each criterion, for example, an appropriate threshold (eg, energy consumption below a defined threshold) or a yes-no decision (passing a tourist destination or not) could be set.
  • an appropriate threshold eg, energy consumption below a defined threshold
  • a yes-no decision passing a tourist destination or not
  • the route is planned or changed differently, it can be rejected by the driver, which is why he can be given a corresponding interaction with the monitoring device. For this, the driver must be told why the new route should be driven. It is also possible to offer the driver a reward system for generating as many update messages as possible. This can be either a virtual or real currency.
  • Fleet operators such as taxi or minibus companies form a particularly interesting target group for this purpose.
  • measurement requests can be sent from the backend to non-commercial vehicles.
  • contracts with companies in particular fleet operators
  • Such an example of a commercial commissioning represent driverless automatic vehicles (for example Robotaxis). If these vehicles without passengers and without time pressure are on the way (for example, on parking space search), the measurement requests can lead directly to detours. This innovative use enables fleet operators to generate added value that they otherwise would not have in their unused time.
  • the invention can provide that the monitoring device takes into account the quality of map sections in the transmission of targeted measurement requests, the quality of the map sections comprising the age, the accuracy and / or the uncertainty of the map sections. Thus, map sections that require it may be updated.
  • the invention may provide that the quality of the sensors comprises at least one piece of information, such as:
  • Laser sensors which have a potentially high range and are advantageously suitable for acquiring geometric information. Possible
  • Measurements on laser sensors can include positions and / or dimensions of specific objects in the map, determine open spaces and / or passable areas.
  • Cameras in general are well suited for the classification of objects and the determination of color information. Possible measuring jobs can determine certain colors of the lane markings, certain speed limits
  • Radars measure speeds of objects in an advantageous manner. Possible measurement tasks include certain traffic density in a specific area, determine radar localization features or the like.
  • Ultrasonic sensors are well suited for distance measurements in the near range.
  • Possible measuring jobs may include specific geometries or presence of parking spaces; certain widths, for example in a narrow lane, or the like.
  • Capacitive sensors may also be well suited for making proximity measurements in the vicinity and / or for detecting the road condition.
  • Virtual sensors for example car-to-car may be advantageous for detecting the number of road users or the like.
  • GPS sensors provide certain reception quality on lanes to
  • Rain light sensors can determine precipitation and position of the sun. 1 1. Radio modems can improve connectivity measurements. As a result, data from the Internet can be downloaded in a predictive manner.
  • Sensors for friction coefficient determination can be useful for optimizing the driving and braking behavior of the fleet vehicle.
  • the position of the sensors on the fleet vehicle (top, front, back) can be taken into account, which may be important for distance measurements in the vicinity.
  • the orientation of the sensors can be taken into account. Thus, it can be checked whether a specific measurement order is executable by the sensor at all, and / or whether the object to be measured during the shutdown will be long enough in the field of view.
  • the resolution of the sensors can be taken into account. Thus, it can be checked whether, for example, the resolution of a camera is good enough to interpret a road sign.
  • the calibration of the sensors can be taken into account.
  • it can be determined, for example, whether the sensor set on the fleet vehicle is calibrated sufficiently to be able to carry out this order with high quality in measurement jobs that require geometrical accuracy.
  • the software support of the sensors on the fleet vehicle can be taken into account.
  • it can be verified whether, for example, image processing is available to interpret traffic signs.
  • hardware support may play a role in determining whether the
  • the connectivity may be important to determine whether the vehicle can connect to the monitoring device in the near future to be able to send the result of the guided measurement.
  • the suitability of the sensors can generally be taken into account in order to be able to detect specific measurement requests of the monitoring device.
  • the suitability of the sensors can be checked for the following criteria: age of the map sections, Accuracy of the map sections and / or uncertainty of the map sections (for example, a sign is known, but which sign that is is unknown)
  • the invention can provide that the monitoring device in the
  • Traffic information conceivable, which can not be completely or not completely detected by a type of sensors.
  • advantageously different types of sensors can be used.
  • a combination of the lidar sensor and a camera may be advantageous.
  • the monitoring device the
  • Traffic information can handle locally.
  • the monitoring device can be relieved. Also, thus, the number of data that needs to be exchanged between the fleet vehicle and the monitoring device can be limited.
  • the invention may provide for the monitoring device to periodically update the measurement requests and / or to request the data during the generation of the measurement requests
  • Monitoring device and the individual fleet vehicles which can be selected depending on the data volume, the data type and / or other important parameters for traffic monitoring.
  • the invention provides a system for determining traffic information, which is implemented with a central monitoring device, which is connected to a plurality of
  • the monitoring device transmits specific measurement requests to the fleet vehicles when communicating with the fleet vehicles.
  • the monitoring device according to the invention is designed to carry out the method which has been described above. With the aid of the system according to the invention, the achieved the same advantages described above in connection with the inventive method. To avoid repetition, reference is made in the present case in full.
  • the invention can provide that the monitoring device a
  • Map sections information about the quality of different map sections
  • the card including all information and updates can be stored centrally in the monitoring device.
  • the invention may provide that the monitoring device a
  • Control device which is designed to targeted measurement requests to the
  • control device is designed to evaluate the quality of sensors that are equipped with the individual fleet vehicles, and / or that the control device is designed to evaluate the quality of map sections that are stored in the storage device , and / or that the
  • Control device is designed to handle traffic information.
  • the inventive method can be carried out with all its variations.
  • Fig. 1 is a schematic representation of a system according to the invention for the determination of traffic information.
  • FIG. 1 shows a system 100 for determining traffic information, which comprises a central monitoring device 10 which is in communication with a plurality of fleet vehicles 101 in order to obtain traffic information from the fleet vehicles 101.
  • the monitoring device 10 is designed to transmit targeted measurement requests to the fleet vehicles 101 during communication with the fleet vehicles 101.
  • the monitoring device 10 is supplied with initial map data, which are stored for example in a memory device 11.
  • a control device 12 may decide whether certain map sections need to be updated.
  • the control device 12 can take into account the age, the accuracy and / or the uncertainty of the map sections.
  • the quality of the sensors according to the invention comprises at least one piece of information about the: a) type of sensors,
  • the monitoring device 10 in the transmission of targeted
  • Measurement requests consider several sensors in a group and / or combinations with which the individual fleet vehicles 101 are equipped.
  • the monitoring device 10 can receive the traffic information in the form of sensor data and process it centrally in the control device 12.
  • the fleet vehicles 101 can already provide processed traffic information, for example changed map sections, to the monitoring device 10.
  • the monitoring device 10 may interrogate the fleet vehicles 101 periodically.
  • the fleet vehicles 101 can independently communicate to the monitoring device 10 certain map sections that are relevant from the perspective of the vehicles.
  • the communication between the monitoring device 10 and the fleet vehicles 101 can take place via a mobile communication link 102, sound waves, radio waves,
  • the monitoring device 10 may send this updated traffic information to all fleet vehicles 101.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un procédé de détermination d'informations de trafic à l'aide d'un dispositif de surveillance central (10) qui est en communication avec une pluralité de véhicules de flotte (101) pour fournir des informations de trafic à partir des véhicules de flotte (101), le dispositif de surveillance (10) transmettant des souhaits de mesure ciblés aux véhicules de flotte (101) lors d'une communication avec lesdits véhicules de flotte (101). À cet effet, selon l'invention, le dispositif de surveillance (10) tient compte, lors de la transmission de souhaits de mesure ciblés, de la qualité des capteurs dont les différents véhicules de flotte (101) sont équipés.
EP19720430.8A 2018-04-11 2019-04-11 Procédé de détermination d'informations de trafic Pending EP3777107A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102018108538.9A DE102018108538B4 (de) 2018-04-11 2018-04-11 Verfahren zur Ermittlung von Verkehrsinformationen
PCT/EP2019/059339 WO2019197573A1 (fr) 2018-04-11 2019-04-11 Procédé de détermination d'informations de trafic

Publications (1)

Publication Number Publication Date
EP3777107A1 true EP3777107A1 (fr) 2021-02-17

Family

ID=66334390

Family Applications (1)

Application Number Title Priority Date Filing Date
EP19720430.8A Pending EP3777107A1 (fr) 2018-04-11 2019-04-11 Procédé de détermination d'informations de trafic

Country Status (5)

Country Link
US (1) US11222543B2 (fr)
EP (1) EP3777107A1 (fr)
CN (1) CN112042169B (fr)
DE (1) DE102018108538B4 (fr)
WO (1) WO2019197573A1 (fr)

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Also Published As

Publication number Publication date
US20210035449A1 (en) 2021-02-04
CN112042169A (zh) 2020-12-04
DE102018108538A1 (de) 2019-10-17
CN112042169B (zh) 2023-08-08
WO2019197573A1 (fr) 2019-10-17
US11222543B2 (en) 2022-01-11
DE102018108538B4 (de) 2024-07-18

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