WO2020135974A1 - Reconnaissance d'embouteillage à partir de données de mouvement - Google Patents

Reconnaissance d'embouteillage à partir de données de mouvement Download PDF

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Publication number
WO2020135974A1
WO2020135974A1 PCT/EP2019/083279 EP2019083279W WO2020135974A1 WO 2020135974 A1 WO2020135974 A1 WO 2020135974A1 EP 2019083279 W EP2019083279 W EP 2019083279W WO 2020135974 A1 WO2020135974 A1 WO 2020135974A1
Authority
WO
WIPO (PCT)
Prior art keywords
motor vehicles
data
backlog
determining
forecast
Prior art date
Application number
PCT/EP2019/083279
Other languages
German (de)
English (en)
Inventor
Kord Lühr
Steffen AXER
Juana WENDT
Johannes Stark
Santana NGANTCHEU TCHAMDA
Cedric WILTING
Original Assignee
Volkswagen Aktiengesellschaft
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 Volkswagen Aktiengesellschaft filed Critical Volkswagen Aktiengesellschaft
Priority to EP19816582.1A priority Critical patent/EP3903292B1/fr
Publication of WO2020135974A1 publication Critical patent/WO2020135974A1/fr

Links

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
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • 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
    • G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
    • G08G1/096791—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is another vehicle
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/161—Decentralised systems, e.g. inter-vehicle communication
    • G08G1/163—Decentralised systems, e.g. inter-vehicle communication involving continuous checking
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/22—Platooning, i.e. convoy of communicating vehicles

Definitions

  • the present invention relates to a method and a system for determining the length of a backlog of motor vehicles on a light signal system and a waiting time caused by the backlog.
  • the publication DE 2008 022 349 A1 relates to a method and a device for determining backflow lengths at traffic signal systems, comprising a data processing device in which a traffic model for road segments with a traffic signal system is implemented, via which density profiles are delivered as a function of a parameter, with a backflow length at the traffic lights are only determined using the traffic model, taking into account the parameter of the selected density profile.
  • DE 10 2016 013 972 A1 relates to a driver assistance system comprising a first one
  • DE 10 201 1 122 297 A1 relates to a method for generating traffic-relevant information by a vehicle in a vehicle pool for the use of all vehicles in the vehicle pool, the traffic-relevant information being communicative
  • a disadvantage of the prior art mentioned is, in particular, that it is not possible, independently of an infrastructure connection, to provide a sufficiently precise prediction for determining the length of a backwater in front of a traffic light system and a waiting time caused by the backwater. It is therefore the object of the present invention to describe those described above
  • the object of the present invention to provide a method and a system for determining the length of a backlog of motor vehicles on a traffic signal system and a waiting time caused by the backwater, which is as independent and versatile as possible or can be operated can be used and provide a prediction as precise as possible with regard to the length of a backwater and a waiting time of motor vehicles in front of a traffic light system due to the backwater.
  • Motor vehicles in front of a traffic light system and a waiting time due to the backwater comprises the steps of receiving movement data from motor vehicles by means of a data reception unit, determining stopping processes of motor vehicles in front of a traffic light system from the movement data by means of a data processing unit, and determining the spatial and temporal distribution of the stopping processes of the motor vehicles by means of the data processing unit, determining the maximum length of the backlog of motor vehicles and its time using the data processing unit and producing a forecast with regard to the build-up and / or reduction of the backlog of the
  • the process in question is characterized in that the creation of a forecast does not require an infrastructure connection.
  • the method in question can preferably be used in a motor vehicle, such as a car or a truck, and in particular can be used here as input parameters for optimizing driver assistance systems, such as adaptive speed controllers or start-stop systems.
  • driver assistance systems such as adaptive speed controllers or start-stop systems.
  • individual steps of the method according to the invention are provided preferably be repeated cyclically.
  • the steps up to the creation of a forecast can in particular be repeated cyclically in order to be able to create a more precise forecast based on a larger amount of data.
  • a comparison is made between the determined values and reference values, the determined values preferably being averaged and / or weighted prior to a comparison with reference values.
  • a weighting can take place in particular with regard to the meaningfulness of the values. Values determined under comparable conditions can serve as a reference value.
  • An objective light signal system can be formed in particular in the form of a traffic light or the like.
  • movement data of motor vehicles is understood to mean, in particular, GPS signals, via which a time profile of current geographical locations of motor vehicles can be reproduced, the movement data being preferably transmitted and received in relation to a specific vehicle ID.
  • a holding process of a motor vehicle is understood to mean a process in which a motor vehicle stops at least briefly as a result of a stop signal.
  • a spatial and temporal distribution of the stopping processes is understood to mean, in particular, a trajectory traveled by a vehicle or a course of the journey.
  • a physical crossing of a backwater is to be understood as a crossing up to a crossing of a defined stop line, preferably preferably directly at a relevant one
  • Traffic light system is arranged.
  • An infrastructure connection is understood to mean in particular a direct connection or a direct data or communication connection to a lighting system.
  • map data is understood to mean in particular a preferably vectorized road network with defined start and end points, nodes and further elements for the abstract representation of a real road network.
  • map data can serve as meta-infrastructure data.
  • the evaluation of map data and / or meta infrastructure data can also be carried out in the other steps of the
  • Light signal system includes the evaluation of additional sensor-acquired data.
  • Additional sensor-acquired data can be, for example, data such as a current ambient temperature, a current ambient pressure, a current air humidity, in particular a current visibility, a current road structure, but also other vehicle-specific data, such as a current driving speed, a current speed or the like, which can be used in particular to refine the data obtained.
  • the determination of the spatial and temporal distribution of the stopping processes comprises a projection of the movement data onto a digital map network.
  • a projection of the movement data onto a digital map network allows in particular the determination of a route of a motor vehicle via the
  • a cluster analysis of the trajectories can be provided according to certain criteria, for example according to a traction current or the like, within the framework of determining the spatial and temporal distribution of the holding processes.
  • a determination of the crossing times of a stopping line and / or the stopping times of the stopping processes on a stopping line can also be provided.
  • the determination of the spatial and temporal distribution of the stopping processes an evaluation of information regarding the light signal system includes.
  • An evaluation of information relating to the light signal system can in particular determine the green and red phases as well of the switching cycle, which then advantageously do not have a
  • Communication connection to the light signal system in question can be determined, for example, from the movement data of motor vehicles.
  • the duration and / or switching frequency or the like can be determined.
  • the creation of a prognosis is based at least in part on the use of a linear model.
  • the model preferably comprises the determination of a waiting time and / or the determination of a maximum backflow length.
  • the generation of a forecast is based at least in part on the application of a
  • Shock wave model Shock waves can in particular be by-products of
  • Traffic congestion and queues occur and move through a traffic environment in the form of a propagating wave in the transition zones between two traffic conditions.
  • the waves are found as a transition from a flowing, fast state to an overloaded, stationary state or, conversely, from a stationary state to a suddenly accelerating state.
  • Shock waves are a major safety issue here, since the sudden change in conditions that drivers experience when they are subjected to shock waves can often lead to accidents.
  • the forecast is output by means of an output unit.
  • the output unit can in particular be formed in the form of a visual display unit, such as a display or the like, on which the generated forecast can then be represented graphically, for example.
  • the forecast generated it is also possible for the forecast generated to be represented acoustically and / or haptically or the like.
  • Road map or the like can be displayed.
  • the invention can advantageously also provide for the creation of a further forecast, the creation of the first forecast being used as the basis for creating the further forecast.
  • a plurality or a plurality of further forecasts can also be provided, which preferably build on one another and of which the previous forecast is then used as the basis for creating the further forecast. That way for example, even without an infrastructure connection, a meaningful forecast regarding the arrival time of a route or the like is possible.
  • the invention also relates to a system for determining the length of a backlog of motor vehicles in front of traffic lights and a waiting time caused by the backwater.
  • the system comprises a data receiving unit for receiving movement data from motor vehicles and a data processing unit for determining stopping processes of motor vehicles in front of a light signal system from the movement data, for determining a spatial and temporal distribution of the stopping processes of motor vehicles for determining the maximum length of the backlog of motor vehicles and its Time and to create a forecast regarding the build-up and dismantling of the backlog of the motor vehicles and a waiting time until the backlog has to be crossed.
  • the system in question is characterized by the fact that none is required to create a forecast
  • the system in question can preferably comprise an output unit for outputting the forecast.
  • the output unit can in this case in particular in the form of a visual
  • Display unit such as a display or the like on which the created
  • forecast can be displayed graphically. Alternatively or cumulatively, it is also possible to represent the forecast generated acoustically and / or haptically or the like.
  • the system in question can be wired, for example, the individual system components preferably being formed by a bus system or the like
  • the individual system components can also be wireless or contactless on server or
  • the invention also relates to a motor vehicle, comprising a system described above.
  • Fig. 1 is a schematic representation of the individual steps of an inventive
  • FIG. 2 shows a schematic representation of a linear model for producing a prognosis with regard to the build-up and / or dismantling of the backlog and a waiting time until the backlog has passed through
  • Fig. 3 shows a motor vehicle, comprising a system according to the invention for determining the
  • FIG. 1 shows a schematic representation of the individual steps of a method according to the invention for determining the length of a backwater R of motor vehicles 10 on a traffic light system 12 and a waiting time T caused by the backwater R.
  • movement data 10 ′ from motor vehicles 10 is first received by means of a
  • movement data 10 ′ is understood in particular to be GPS signals, via which a time profile of current geographic locations of
  • Motor vehicles 10 can be played.
  • the movement data 10 ′ can preferably be transmitted and received in relation to a specific vehicle ID.
  • a determination 22 of stopping processes of motor vehicles 10 in front of a light signal system 12 is then carried out from the movement data 10 ′ received in the previous step by means of a data processing unit 2.
  • a stopping process of a motor vehicle 10 is understood to mean in particular a process in which a motor vehicle 10 stops at least briefly as a result of a stop signal.
  • stopping processes are understood to mean, in particular, a trajectory traveled by a vehicle 10 in question or a travel course traveled.
  • a determination 26 of the maximum length of the backlog R of motor vehicles 10 and its time is then carried out by means of the data processing unit 2, before in a further step the generation 28 of a prognosis relating to the build-up and / or dismantling of the backlog R. of the motor vehicles 10 and a waiting time T until the backflow R is crossed by means of the data processing unit 2.
  • the method in question is characterized in particular in that the creation 28 of a forecast does not require an infrastructure connection, such as a direct connection or a direct data or communication connection to a lighting system 12.
  • an infrastructure connection such as a direct connection or a direct data or communication connection to a lighting system 12.
  • the forecast 30 can also be output by means of an output unit 6.
  • An output unit 6 can in this case be formed in particular in the form of a visual display unit, such as a display or the like, on which the forecast generated can be represented graphically. Alternatively or cumulatively, it is also possible for the forecast to be presented acoustically and / or haptically or the like. In the context of a graphical representation of a forecast created, the latter can be used for the purpose of a clearer
  • Representation for example, can also be displayed together with a digital road map or the like.
  • FIG. 2 shows a schematic representation of a linear model for producing a prognosis with regard to the build-up and / or reduction of the backlog R of the motor vehicles 10 and a waiting time T until the backlog R.
  • the recording of movement data 10 ′ during different signal phases 12a to 12c plots a respective distance x of a vehicle 10 from the light signal system 12 against the time t, through which three areas A, B, C surrender.
  • a first area A there is a linear course of the reduction of a distance x of a vehicle 10 to the light signal system 12 with the time t until the area B is reached.
  • a backlog R of vehicles 10 is then formed due to the red phase 12c of the light signal system 12, which does not continue due to the backlog R. move so that the distance x between the vehicles 10 and the traffic light system 12 does not decrease during this phase. Only in a further green phase 12a does the distance x of the motor vehicles 10 in front of the traffic light system 12 decrease linearly over time t.
  • the present model for producing a prognosis with regard to the build-up and / or reduction of the backlog R of the motor vehicles 10 and a waiting time T until the backflow R is traversed not only the waiting time T of a motor vehicle 10 but also the maximum backwater R max be determined.
  • the system 1 in question has a data receiving unit 4 for receiving 20 movement data 10 'of motor vehicles 10 and a data processing unit 2 for determining stopping processes of motor vehicles 10 in front of a traffic light system 12 from the movement data 10', for determining 24 a spatial and temporal distribution of the stopping processes for motor vehicles 10, for determining 26 the maximum length of the backlog R of Motor vehicles 10 and their time as well as for producing 28 a prognosis with regard to the building and dismantling of the backwater R of the motor vehicles 10 and a waiting time T until the backwater R is traversed.
  • the system 1 in the present case includes an output unit 6 for output 30 of the created one
  • the output unit 6 can in this case in particular in the form of a visual
  • Display unit such as a display or the like, and then display the generated forecast, for example graphically, preferably together with a digital road map or the like.
  • the individual system components are connected to one another via a communication and control line 3 in the form of a bus system.
  • a communication and control line 3 in the form of a bus system.
  • wireless or contactless communication of the individual would also be part of a flexible and uncomplicated communication of the individual system units

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

Abstract

L'invention concerne un procédé de détermination de la longueur d'un embouteillage (R) de véhicules automobiles (10) au niveau d'un système de signalisation lumineuse (12) et d'un temps d'attente (T) provoqué par l'embouteillage (R), comprenant les étapes suivantes : réception (20) de données de mouvement (10') de véhicules automobiles (10) au moyen d'une unité de réception de données (4), détermination (22) des manœuvres d'arrêt de véhicules automobiles (10) devant un système de signalisation lumineuse (12) à partir des données de mouvement (10') au moyen d'une unité de traitement de données (2), détermination (24) de la distribution dans l'espace et dans le temps des manœuvres d'arrêt des véhicules automobiles (10) au moyen de l'unité de traitement des données (2), détermination (26) de la longueur maximale de l'embouteillage (R) de véhicules automobiles (10) et de son instant au moyen de l'unité de traitement des données (2), et établissement (28) d'une prévision concernant l'augmentation et/ou la réduction de l'embouteillage (R) des véhicules automobiles (10) et d'un temps d'attente (T) jusqu'au franchissement de l'embouteillage (R) au moyen de l'unité de traitement des données (2), l'établissement (28) d'une prévision ne nécessitant pas de connexion à l'infrastructure.
PCT/EP2019/083279 2018-12-27 2019-12-02 Reconnaissance d'embouteillage à partir de données de mouvement WO2020135974A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP19816582.1A EP3903292B1 (fr) 2018-12-27 2019-12-02 Reconnaissance d'embouteillage à partir de données de mouvement

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102018010003.1 2018-12-27
DE102018010003.1A DE102018010003A1 (de) 2018-12-27 2018-12-27 Rückstauerkennung aus Bewegungsdaten

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WO2020135974A1 true WO2020135974A1 (fr) 2020-07-02

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PCT/EP2019/083279 WO2020135974A1 (fr) 2018-12-27 2019-12-02 Reconnaissance d'embouteillage à partir de données de mouvement

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EP (1) EP3903292B1 (fr)
DE (1) DE102018010003A1 (fr)
WO (1) WO2020135974A1 (fr)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102008022349A1 (de) 2008-05-02 2009-11-12 Deutsches Zentrum für Luft- und Raumfahrt e.V. Verfahren und Vorrichtung zur Ermittlung von Rückstaulängen an Lichtsignalanlagen
DE102011081609A1 (de) * 2011-08-26 2013-02-28 Robert Bosch Gmbh Verfahren und Vorrichtung zur Bewertung einer Annäherungssituation eines Fahrzeugs an eine Signalanlage
DE102011122297A1 (de) 2011-12-23 2013-06-27 Daimler Ag Verfahren zur Erzeugung und Nutzung verkehrsrelevanter Informationen durch Fahrzeuge eines Fahrzeugpools
EP3057036A1 (fr) * 2015-02-11 2016-08-17 Volkswagen Aktiengesellschaft Dispositif et procede d'acceleration d'un vehicule au demarrage a un feu de circulation
US20170206783A1 (en) * 2016-01-14 2017-07-20 Siemens Industry, Inc. Systems and methods to detect vehicle queue lengths of vehicles stopped at a traffic light signal
DE102016013972A1 (de) 2016-11-23 2018-05-24 Opel Automobile Gmbh Fahrerassistenzsystem und -verfahren

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Publication number Priority date Publication date Assignee Title
DE10022812A1 (de) * 2000-05-10 2001-11-22 Daimler Chrysler Ag Verfahren zur Verkehrslagebestimmung auf Basis von Meldefahrzeugdaten für ein Verkehrsnetz mit verkehrsgeregelten Netzknoten
DE10110327A1 (de) * 2001-03-03 2002-09-19 Daimler Chrysler Ag Verfahren zur Ermittlung einer aktuellen Verkehrslage

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102008022349A1 (de) 2008-05-02 2009-11-12 Deutsches Zentrum für Luft- und Raumfahrt e.V. Verfahren und Vorrichtung zur Ermittlung von Rückstaulängen an Lichtsignalanlagen
DE102011081609A1 (de) * 2011-08-26 2013-02-28 Robert Bosch Gmbh Verfahren und Vorrichtung zur Bewertung einer Annäherungssituation eines Fahrzeugs an eine Signalanlage
DE102011122297A1 (de) 2011-12-23 2013-06-27 Daimler Ag Verfahren zur Erzeugung und Nutzung verkehrsrelevanter Informationen durch Fahrzeuge eines Fahrzeugpools
EP3057036A1 (fr) * 2015-02-11 2016-08-17 Volkswagen Aktiengesellschaft Dispositif et procede d'acceleration d'un vehicule au demarrage a un feu de circulation
US20170206783A1 (en) * 2016-01-14 2017-07-20 Siemens Industry, Inc. Systems and methods to detect vehicle queue lengths of vehicles stopped at a traffic light signal
DE102016013972A1 (de) 2016-11-23 2018-05-24 Opel Automobile Gmbh Fahrerassistenzsystem und -verfahren

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
C. BUSCH DITTRICH ET AL: "Rückstaulängenschätzung zur verbesserten Geschwindigkeitsempfehlung im Fahrzeug", 14 November 2016 (2016-11-14), XP055672919, Retrieved from the Internet <URL:https://mediatum.ub.tum.de/doc/1081272/1081272.pdf> [retrieved on 20200302] *

Also Published As

Publication number Publication date
DE102018010003A1 (de) 2020-07-02
EP3903292B1 (fr) 2024-02-28
EP3903292A1 (fr) 2021-11-03

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