WO2021122087A1 - Procédé et dispositif de détection de données de circulation - Google Patents

Procédé et dispositif de détection de données de circulation Download PDF

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Publication number
WO2021122087A1
WO2021122087A1 PCT/EP2020/084824 EP2020084824W WO2021122087A1 WO 2021122087 A1 WO2021122087 A1 WO 2021122087A1 EP 2020084824 W EP2020084824 W EP 2020084824W WO 2021122087 A1 WO2021122087 A1 WO 2021122087A1
Authority
WO
WIPO (PCT)
Prior art keywords
measurement data
road vehicle
following features
recorded
identifier
Prior art date
Application number
PCT/EP2020/084824
Other languages
German (de)
English (en)
Inventor
Andreas Baier
Original Assignee
Robert Bosch 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 Robert Bosch Gmbh filed Critical Robert Bosch Gmbh
Publication of WO2021122087A1 publication Critical patent/WO2021122087A1/fr

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Classifications

    • 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]

Definitions

  • the present invention relates to a method for acquiring traffic data.
  • the present invention also relates to a corresponding device, a corresponding computer program and a corresponding storage medium.
  • Methods are known for collecting traffic and, in particular, congestion data, in which the location coordinates of participating vehicles are transmitted and processed further within a server, sometimes also referred to as a “backend” in this context.
  • a method of this type is described, for example, by SCH ⁇ FER, Ralf-Peter; THIESSENHUSEN, Kai-Uwe; WAGNER, Peter.
  • a traffic information system by means of real-time floating-car data. In: ITS world congress. 2002.
  • No. 7,188,026 B2 discloses a hierarchical method in which the data transmitted by individual vehicles are aggregated at stationary so-called egress points and transmitted to the backend in preprocessed form.
  • WO 2018/142194 A1 describes a method in which a dynamic IP address is used to anonymize the recorded data.
  • the invention provides a method for acquiring traffic data, a corresponding device, a corresponding computer program and a corresponding machine-readable storage medium according to the independent claims.
  • a basic idea of the approach according to the invention is that a control device already in the vehicle - instead of continuously transmitting vehicle position data to obtain road traffic data - preprocesses the position and available sensor data and only forwards this preprocessed data to a network.
  • Data preprocessed in the manner according to the invention have the advantage that the privacy of the vehicle owner is better protected since they cannot be used by the recipient to create a movement profile of the vehicle.
  • the road vehicle when entering a new area of the road network, receives an identifier dynamically assigned by a server and assigned to the road vehicle. Using this identifier, the server is able to check the plausibility of the measured data recorded, preprocessed and sent back by the vehicle, which increases the accuracy and thus ultimately the quality of the traffic data obtained.
  • the amount of data reduced by the preprocessing according to the invention can also be transmitted over such a low-performance network.
  • the road vehicle receives the traffic data resulting from the method via a traffic message channel (TMC).
  • TMC traffic message channel
  • the measurement data include a distance covered by the road vehicle within its respective area as well as a time stamp or the average speed reached by the vehicle in this area. In this way, each vehicle can contribute to the collection of traffic data without providing continuous information about its location.
  • the measurement data are recorded by means of a wheel speed or inertia sensor, radar device, a camera or a lidar system.
  • Figure 1 shows the flow chart of a method according to a first embodiment.
  • FIG. 2 schematically shows a control device according to a second embodiment.
  • FIG. 1 illustrates the basic sequence of a method (10) according to the invention, which will now be explained with reference to the application according to FIG.
  • a control unit (30) in a car (20) or other road vehicle (20) determines (process 11 - Figure 1) its location (21) in the road network (22), which for this purpose is divided into different areas (23, 24, 25, 26) is divided.
  • Relevant technology, on which conventional navigation systems are also based, is sufficiently known to the person skilled in the art.
  • control unit (30) When the control unit (30) enters such an area (23, 24, 25, 26), it is assigned a dynamic identifier (15 - FIG. 1) by a server (35), which it connects to a Network (34) is receiving. Relevant measurement data (16 - FIG. 1) such as distance, average speed, etc. are collected for the area traveled through (23, 24, 25, 26). This can be supported by all sensors available in the car (20) (process 12 - FIG. 1).
  • the data (16) are subjected to preprocessing (process 13 - FIG. 1) and only when leaving the area (23, 24, 25, 26) or after crossing several areas (23, 24, 25, 26) by C2C by means of other road vehicles (31, 32) or transmitted directly to the network (34) (process 14 - FIG. 1). This is made possible by the small amount of preprocessed data (17 - Figure 1).
  • the identifier (15) can be used in conjunction (33) with plausibility checks to check whether the data (17) are free of errors and not falsified. As soon as a connection (33) to the network (34) is possible and an area (23, 24, 25, 26) is closed, a new identifier (15) is received.
  • the car (20) can receive traffic reports via C2C using other road vehicles (31, 32), from the network (34) or in a conventional manner via TMC.
  • the time stamp of the preprocessed data (17) is kept so blurred that it does not allow tracking of the location (21) of the car (20), but is given with sufficient precision to be able to evaluate traffic information in real time.
  • the control unit (30) of the car (20) can be operated like a mobile Internet in order to be more independent of the connection (33) between the car (20) and the network (34).
  • This method (10) can be implemented, for example, in software or hardware or in a mixed form of software and hardware, for example in the control device (30).

Abstract

L'invention concerne un procédé (10) destiné à détecter des données de circulation, se caractérisant par les caractéristiques suivantes : l'emplacement (21) d'un véhicule routier (20) à l'intérieur d'un réseau routier (22) divisé en zones (23, 24, 25, 26) est déterminé en continu (11) ; un identifiant (15) est reçu (12) lorsque le véhicule routier (20) pénètre dans l'une des zones (23, 24, 25, 26) ; des données de mesure (16) détectées par le véhicule routier (20) dans la zone respective (23, 24,25, 26) sont pré-traitées (13) ; et les données de mesure pré-traitées (17) sont transmises (14) par le véhicule routier (20) avec l'identifiant (15).
PCT/EP2020/084824 2019-12-20 2020-12-07 Procédé et dispositif de détection de données de circulation WO2021122087A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019220375.2 2019-12-20
DE102019220375.2A DE102019220375A1 (de) 2019-12-20 2019-12-20 Verfahren und Vorrichtung zum Erfassen von Verkehrsdaten

Publications (1)

Publication Number Publication Date
WO2021122087A1 true WO2021122087A1 (fr) 2021-06-24

Family

ID=73748102

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2020/084824 WO2021122087A1 (fr) 2019-12-20 2020-12-07 Procédé et dispositif de détection de données de circulation

Country Status (2)

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DE (1) DE102019220375A1 (fr)
WO (1) WO2021122087A1 (fr)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7188026B2 (en) 2003-05-12 2007-03-06 Dash Navigation, Inc. Hierarchical floating car data network
WO2017180382A1 (fr) * 2016-04-12 2017-10-19 Pcms Holdings, Inc. Système et procédé de validation de données dans un réseau de capteurs décentralisé
WO2018142194A1 (fr) 2017-02-02 2018-08-09 Yosef Mintz Système et procédés d'intégration pour appliquer un équilibrage de charge de trafic- de ville dynamique prédictif et un contrôle commande de stationnement prédictif qui peut en outre contribuer à une sécurité routière coopérative

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7188026B2 (en) 2003-05-12 2007-03-06 Dash Navigation, Inc. Hierarchical floating car data network
WO2017180382A1 (fr) * 2016-04-12 2017-10-19 Pcms Holdings, Inc. Système et procédé de validation de données dans un réseau de capteurs décentralisé
WO2018142194A1 (fr) 2017-02-02 2018-08-09 Yosef Mintz Système et procédés d'intégration pour appliquer un équilibrage de charge de trafic- de ville dynamique prédictif et un contrôle commande de stationnement prédictif qui peut en outre contribuer à une sécurité routière coopérative

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
RAGONA, ROBERTOVALENTI, GAETANO: "2008 llth International IEEE Conference on Intelligent Transportation Systems", 2008, IEEE, article "Traffic estimation and prediction based on real time floating car data", pages: 197 - 203
THIESSENHUSEN, KAI-UWEWAGNER, PETER: "A traffic information system by means of real-time floating-car data", ITS WORLD CONGRESS, 2002

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