EP3903292B1 - Tailback detection on the basis of movement data - Google Patents
Tailback detection on the basis of movement data Download PDFInfo
- Publication number
- EP3903292B1 EP3903292B1 EP19816582.1A EP19816582A EP3903292B1 EP 3903292 B1 EP3903292 B1 EP 3903292B1 EP 19816582 A EP19816582 A EP 19816582A EP 3903292 B1 EP3903292 B1 EP 3903292B1
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- Prior art keywords
- motor vehicles
- forecast
- tailback
- data
- backlog
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- 238000001514 detection method Methods 0.000 title 1
- 238000000034 method Methods 0.000 claims description 69
- 230000008569 process Effects 0.000 claims description 30
- 238000012545 processing Methods 0.000 claims description 19
- 230000002123 temporal effect Effects 0.000 claims description 16
- 238000011156 evaluation Methods 0.000 claims description 8
- 230000009467 reduction Effects 0.000 description 13
- 238000004891 communication Methods 0.000 description 9
- 230000035939 shock Effects 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 4
- 230000011664 signaling Effects 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000006227 byproduct Substances 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007621 cluster analysis Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000001902 propagating effect Effects 0.000 description 1
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Classifications
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- 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]
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- 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
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- 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
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- 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
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- 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
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- 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 at a traffic 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 backlog lengths at traffic signal systems, comprising a data processing device in which a traffic model for road segments with a traffic light system is implemented, via which density profiles are delivered depending on a parameter, with a backlog length at the traffic lights only using the traffic model Taking into account the parameter of the selected density profile is determined.
- the DE 10 2016 013 972 A1 relates to a driving assistance system, comprising a first receiving means for receiving traffic light signal phase information, a second receiving means for collecting vehicle information and a computing means for predicting the end of a traffic jam and a time of resolution of a backlog formed by the vehicles in front of a signaling system.
- the DE 10 2011 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 exchanged via a communicative connection.
- a particular disadvantage of the stated prior art is that it is not possible, independent of an infrastructure connection, to provide a sufficiently accurate prediction for determining the length of a backlog in front of a traffic light system and a waiting time caused by the backlog.
- the object of the present invention is to provide a method and a system for determining the length of a backlog of motor vehicles at a traffic signal system and a waiting time caused by the backlog to provide which can be operated or used as independently and versatilely as possible and which provide the most accurate prediction possible regarding the length of a backlog and the waiting time of motor vehicles in front of a traffic light system caused by the backlog.
- the method according to the invention for determining the length of a backlog of motor vehicles in front of a traffic light system and a waiting time caused by the backlog includes the steps of receiving movement data from motor vehicles by means of a data receiving unit, and determining stopping processes of motor vehicles in front of a traffic signal system from the movement data by means of a data processing unit , 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 creating a forecast regarding the build-up and / or reduction of the backlog of motor vehicles and one Waiting time until the data processing unit crosses the backlog.
- the method in question is characterized by the fact that creating 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 can be used in particular as an input parameter Optimization of driving assistance systems, such as adaptive cruise control or start-stop systems.
- individual steps of the method according to the invention are preferably 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 between the determined values and reference values is carried out during the individual steps of the method according to the invention, the determined values preferably being averaged and/or weighted before a comparison with reference values.
- Weighting can be carried out in particular with regard to the meaningfulness of the values. Values determined under comparable conditions can serve as a reference value.
- a physical traffic light system can be formed in particular in the form of a traffic light or the like.
- movement data from motor vehicles is understood to mean, in particular, GPS signals via which a time course of current geographical locations of motor vehicles can be reproduced, with the movement data preferably being transmitted and received in relation to a specific vehicle ID.
- a stopping 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 or a journey traveled by a vehicle in question.
- an objective crossing of a backlog is ultimately understood to mean a crossing up to a crossing of a defined stop line, which is preferably arranged directly at a relevant traffic light system.
- An infrastructure connection is specifically understood to mean 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 other elements for the abstract representation of a real road network.
- map-based information from objects off the road network such as trees, signs, warning signs, traffic signs and the like, can serve as metainfrastructure data.
- map data and/or metainfrastructure data In addition to integrating an evaluation of map data and/or metainfrastructure data into the method step according to the invention of determining stopping processes in front of a traffic signal system, the evaluation of map data and/or metainfrastructure data can also be integrated into the other steps of the method according to the invention.
- the determination of stopping processes in front of a traffic signal system includes the evaluation of additional data recorded by sensors.
- Additional data recorded by sensors 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 can be used in particular to refine the data obtained.
- the determination of the spatial and temporal distribution of the stopping processes includes 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 motor vehicle's route using even inaccurate GPS data.
- a cluster analysis of the trajectories according to certain criteria for example according to a traction current or the like, can be provided.
- a determination of the crossing times of a stop line and/or the stopping times of the stopping processes at a stop line can also be provided.
- determining the spatial and temporal distribution of the stopping processes includes an evaluation of information regarding the traffic signal system.
- An evaluation of information regarding the traffic signal system can in particular include the determination of the green and red phases as well as the switching cycle, which are not determined via a communication connection to the relevant traffic signal system, but according to the invention from the movement data of motor vehicles.
- the determination of the green and red phases in particular the duration and/or switching frequency or the like can be determined.
- the creation of a forecast is based at least partially on the application of a linear model.
- the model preferably includes the determination of a waiting time and/or the determination of a maximum backlog length.
- the creation of a forecast is based at least partially on the application of a shock wave model. Shock waves can occur in particular as by-products of traffic jams and queues and can move through a traffic environment in the form of a propagating wave in the transition zones between two traffic states.
- shock waves In road traffic, waves can be 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 present a major safety concern as the sudden change in conditions that drivers experience when passing through a shock wave can often lead to accidents.
- the forecast is output by means of an output unit.
- the output unit can in particular be in the form of a visual display unit, such as a display or the like, on which the forecast created can then be displayed graphically, for example.
- the forecast created can be displayed acoustically and/or haptically or the like.
- the latter can be displayed in particular together with a digital road map or the like for the purpose of a clearer representation.
- the creation of a further forecast is provided, with the creation of the first forecast being used as a basis for creating the further forecast.
- a plurality or a large number of further forecasts can also be provided, which preferably build on one another and of which the previous forecast is then used as a basis for creating the further forecast. In this way, for example, a meaningful forecast regarding the arrival time of a relevant route or the like is possible even without an infrastructure connection.
- the subject of the invention is a system for determining the length of a backlog of motor vehicles in front of traffic lights and a waiting time caused by the backlog.
- the system includes 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 traffic light 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 the same Time and to create a forecast regarding the build-up and reduction of the backlog of motor vehicles and the waiting time until the backlog is crossed.
- the system in question is characterized by the fact that no infrastructure connection is required to create a forecast.
- the system according to the invention hereby brings with it the same advantages as have already been described in detail with regard to the method according to the invention.
- the system in question can preferably include an output unit for outputting the forecast.
- the output unit can in particular be in the form of a visual display unit, such as a display or the like, on which the forecast created can be displayed graphically, for example. Alternatively or cumulatively, it is also possible to display the forecast created acoustically and/or haptically or the like.
- the system in question can, for example, be designed to be wired, with the individual system components preferably being connected to one another via a communication and control line in the form of a BUS system or the like.
- the individual system components can also communicate with each other wirelessly or contactlessly on a server or cloud basis and/or via the Internet.
- the subject of the invention is a motor vehicle comprising a system described above.
- Fig. 1 shows a schematic representation of the individual steps of a method according to the invention for determining the length of a backlog R of motor vehicles 10 at a traffic signal system 12 and a waiting time T caused by the backlog R.
- movement data 10' from motor vehicles 10 is first received by means of a data receiving unit 4.
- Movement data 10' is understood to be in particular GPS signals, via which a time course of current geographical locations of motor vehicles 10 is reproduced can be.
- the movement data 10' can preferably be transmitted and received in relation to a specific vehicle ID.
- stops of motor vehicles 10 in front of a traffic signal system 12 are then determined 22 from the movement data 10 'received within the previous step using 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.
- the spatial and temporal distribution of the stopping processes of the motor vehicles 10 is then determined by means of the data processing unit 2.
- a spatial and temporal distribution of the stopping processes is taken into account in particular a trajectory traveled by a vehicle 10 in question Understanding the journey.
- the maximum length of the backlog R of motor vehicles 10 and its time are then determined by means of the data processing unit 2, before, in a further step, a forecast is created 28 regarding the build-up and/or reduction of the backlog R of the motor vehicles 10 and a waiting time T until the backlog R is crossed by means of the data processing unit 2.
- the method in question is characterized in particular by the fact that creating 28 a forecast does not require any infrastructure connection, such as a direct connection or a direct data or communication connection to a lighting system 12.
- an output 30 of the forecast can also be carried out using an output unit 6.
- An output unit 6 can in particular be formed in the form of a visual display unit, such as a display or the like, on which the forecast created can be displayed graphically. Alternatively or cumulatively, it is also possible for the forecast created to be displayed acoustically and/or haptically or the like. As part of a graphical representation of a created forecast, the latter can also be displayed together with a digital road map or the like for the purpose of a clearer representation.
- Fig. 2 shows a schematic representation of a linear model for creating a forecast regarding a build-up and / or reduction of the backlog R of the motor vehicles 10 and a waiting time T until the backlog R is crossed.
- the model shown is based on the recording of movement data 10' during different signal phases 12a to 12c respective distance x of a vehicle 10 to the traffic signal system 12 versus the time t, which results in three areas A, B, C.
- a linear course of the reduction of a distance x of a vehicle 10 to the traffic signal system 12 takes place over time t until the area B is reached.
- a backlog is then formed due to the red phase 12c of the traffic signal system 12 R of vehicles 10 that do not move any further due to the backlog R, so that the distance x of the vehicles 10 to the traffic signal system 12 does not decrease during this phase.
- Only in a further green phase 12a does a linear reduction in the distance x of the motor vehicles 10 in front of the traffic signal system 12 take place over time t.
- Fig. 3 shows a motor vehicle 10, comprising a system 1 according to the invention for determining the length of a backlog R of motor vehicles 10 in front of traffic lights 12 and a waiting time T caused by the backlog R.
- the system 1 in question has a data receiving unit 4 for receiving 20 of movement data 10' from Motor vehicles 10 and a data processing unit 2 for determining stopping processes of motor vehicles 10 in front of a traffic signal system 12 from the movement data 10 ', for determining 24 a spatial and temporal distribution of the stopping processes of motor vehicles 10, for determining 26 the maximum length of the backlog R of motor vehicles 10 and its time and to create 28 a forecast regarding a build-up and clearing of the backlog R of the motor vehicles 10 and a waiting time T until the backlog R is crossed.
- the system 1 in the present case includes an output unit 6 for outputting 30 the forecast created.
- the output unit 6 can in particular be in the form of a visual display unit, such as a display or the like, and can then represent the forecast created, 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 formed in the form of a bus system.
- a communication and control line 3 formed in the form of a bus system.
- wireless or contactless communication between the individual system components via WLAN, Bluetooth, Zigbee or the like would also be conceivable.
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Description
Die vorliegende Erfindung betrifft ein Verfahren sowie ein System zur Bestimmung der Länge eines Rückstaus von Kraftfahrzeugen an einer Lichtsignalanlage und einer durch den Rückstau bedingten Wartezeit.The present invention relates to a method and a system for determining the length of a backlog of motor vehicles at a traffic signal system and a waiting time caused by the backlog.
Verfahren und Systeme zur Ermittlung von Rückstaulängen sind aus dem Stand der Technik bekannt. Hierbei besteht das häufige Problem, dass benötigte Informationen zur Ermittlung von Rückstaulängen entweder nicht öffentlich zugänglich sind oder Rückstaulängen aus verfügbaren Datensätzen nicht unmittelbar und zufriedenstellend genau vorhersagbar sind.Methods and systems for determining backflow lengths are known from the prior art. The common problem here is that the information required to determine backlog lengths is either not publicly available or backlog lengths cannot be predicted directly and satisfactorily accurately from available data sets.
Die Druckschrift
Die
Die
Verfahren zur Bewertung einer Annäherungssituation eines Fahrzeugs sind ferner aus der
Nachteilig an dem genannten Stand der Technik ist insbesondere, dass es nicht möglich ist, unabhängig von einer Infrastrukturanbindung eine hinreichend genaue Vorhersage zur Bestimmung der Länge eines Rückstaus vor einer Lichtsignalanlage sowie einer durch den Rückstau bedingten Wartezeit zu liefern.A particular disadvantage of the stated prior art is that it is not possible, independent of an infrastructure connection, to provide a sufficiently accurate prediction for determining the length of a backlog in front of a traffic light system and a waiting time caused by the backlog.
Es ist daher die Aufgabe der vorliegenden Erfindung, die voranstehend beschriebenen Nachteile zumindest teilweise zu beheben, insbesondere ist es die Aufgabe der vorliegenden Erfindung, ein Verfahren sowie ein System zur Bestimmung der Länge eines Rückstaus von Kraftfahrzeugen an einer Lichtsignalanlage und einer durch den Rückstau bedingten Wartezeit zur Verfügung zu stellen, die möglichst unabhängig und vielseitig betreibbar bzw. einsetzbar sind und eine möglichst genaue Vorhersage bezüglich der Länge eines Rückstaus und einer durch den Rückstau bedingten Wartezeit von Kraftfahrzeugen vor einer Lichtsignalanlage liefern.It is therefore the object of the present invention to at least partially eliminate the disadvantages described above, in particular the object of the present invention is to provide a method and a system for determining the length of a backlog of motor vehicles at a traffic signal system and a waiting time caused by the backlog to provide which can be operated or used as independently and versatilely as possible and which provide the most accurate prediction possible regarding the length of a backlog and the waiting time of motor vehicles in front of a traffic light system caused by the backlog.
Die voranstehende Aufgabe wird gelöst durch ein Verfahren mit den Merkmalen des Anspruchs 1 sowie ein System gemäß Anspruch 8.The above task is solved by a method with the features of
Weitere Merkmale und Details ergeben sich aus den Unteransprüchen, der Beschreibung und den Zeichnungen. Technische Merkmale, die zu dem erfindungsgemäßen Verfahren offenbart werden, gelten dabei auch in Verbindung mit dem erfindungsgemäßen System und umgekehrt, sodass bezüglich der Offenbarung zu den einzelnen Erfindungsaspekten stets wechselseitig Bezug genommen wird bzw. werden kann. Zweckmäßige Ausgestaltungen der Erfindung sind in den abhängigen Ansprüchen ausgeführt.Further features and details can be found in the subclaims, the description and the drawings. Technical features that are disclosed for the method according to the invention also apply in connection with the system according to the invention and vice versa, so that reference to the individual aspects of the invention is or can always be made mutually with regard to the disclosure. Appropriate embodiments of the invention are set out in the dependent claims.
Das erfindungsgemäße Verfahren zur Bestimmung der Länge eines Rückstaus von Kraftfahrzeugen vor einer Lichtsignalanlage und einer durch den Rückstau bedingten Wartezeit umfasst hierbei die Schritte eines Empfangens von Bewegungsdaten von Kraftfahrzeugen mittels einer Datenempfangseinheit, eines Ermittelns von Haltevorgängen von Kraftfahrzeugen vor einer Lichtsignalanlage aus den Bewegungsdaten mittels einer Datenverarbeitungseinheit, eines Ermittelns der räumlichen und zeitlichen Verteilung der Haltevorgänge der Kraftfahrzeuge mittels der Datenverarbeitungseinheit, eines Ermittelns der maximalen Länge des Rückstaus von Kraftfahrzeugen und dessen Zeitpunkt mittels der Datenverarbeitungseinheit sowie eines Erstellens einer Prognose bezüglich eines Auf- und/oder Abbaus des Rückstaus der Kraftfahrzeuge und einer Wartezeit bis zum Durchqueren des Rückstaus mittels der Datenverarbeitungseinheit. Hierbei zeichnet sich das gegenständliche Verfahren dadurch aus, dass das Erstellen einer Prognose keine Infrastrukturanbindung benötigt.The method according to the invention for determining the length of a backlog of motor vehicles in front of a traffic light system and a waiting time caused by the backlog includes the steps of receiving movement data from motor vehicles by means of a data receiving unit, and determining stopping processes of motor vehicles in front of a traffic signal system from the movement data by means of a data processing unit , 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 creating a forecast regarding the build-up and / or reduction of the backlog of motor vehicles and one Waiting time until the data processing unit crosses the backlog. The method in question is characterized by the fact that creating a forecast does not require an infrastructure connection.
Das gegenständliche Verfahren kann vorzugsweise in einem Kraftfahrzeug, wie einem PKW oder einem LKW zum Einsatz kommen und hierbei insbesondere als Inputparameter zur Optimierung von Fahrassistenzsystemen, wie adaptiven Geschwindigkeitsreglern oder Start-Stopp-Systemen verwendet werden.The method in question can preferably be used in a motor vehicle, such as a car or a truck, and can be used in particular as an input parameter Optimization of driving assistance systems, such as adaptive cruise control or start-stop systems.
Um eine regelmäßige Aktualisierung und somit eine besonders exakte Prognose bezüglich eines Auf- und/oder Abbaus eines Rückstaus und einer Wartezeit zu erhalten, kann erfindungsgemäß vorgesehen sein, dass einzelne Schritte des erfindungsgemäßen Verfahrens vorzugsweise zyklisch wiederholt werden. Im Rahmen einer zyklischen Wiederholung des gegenständlichen Verfahrens können hierbei insbesondere die Schritte bis zu einer Erstellung einer Prognose zyklisch wiederholt werden, um auf Basis einer größeren Menge an Daten eine exaktere Prognose erstellen zu können. Ferner kann im Rahmen der Erfindung vorteilhafterweise vorgesehen sein, dass während der einzelnen Schritte des erfindungsgemäßen Verfahrens jeweils ein Vergleich zwischen den ermittelten Werten und Referenzwerten erfolgt, wobei die ermittelten Werte vorzugsweise vor einem Vergleich mit Referenzwerten gemittelt und/oder gewichtet werden. Eine Gewichtung kann hierbei insbesondere hinsichtlich der Aussagekraft der Werte erfolgen. Als Referenzwert können hierbei insbesondere unter vergleichbaren Bedingungen ermittelte Werte dienen. Eine gegenständliche Lichtsignalanlage kann insbesondere in Form einer Ampel oder dergleichen gebildet sein. Unter Bewegungsdaten von Kraftfahrzeugen werden im Rahmen der Erfindung insbesondere GPS-Signale verstanden, über die ein zeitlicher Verlauf aktueller geographischer Standorte von Kraftfahrzeugen wiedergegeben werden kann, wobei die Bewegungsdaten hierbei vorzugsweise in Bezug auf eine bestimmte Fahrzeug-ID übermittelt und empfangen werden. Unter einem Haltevorgang eines Kraftfahrzeugs wird vorliegend ein Vorgang verstanden, bei dem ein Kraftfahrzeug zumindest kurzzeitig, infolge eines Haltesignals stoppt. Unter einer räumlichen und zeitlichen Verteilung der Haltevorgänge wird erfindungsgemäß insbesondere eine von einem betreffenden Fahrzeug zurückgelegte Trajektorie bzw. ein Fahrtverlauf verstanden. Unter einem gegenständlichen Durchqueren eines Rückstaus ist im Rahmen der Erfindung schließlich eine Durchquerung bis zu einer Überquerung einer definierten Haltelinie zu verstehen, die vorzugsweise unmittelbar an einer betreffenden Lichtsignalanlage angeordnet ist. Unter einer Infrastrukturanbindung wird gegenständlich insbesondere eine direkte Anbindung bzw. eine direkte Daten- oder Kommunikationsverbindung zu einer Lichtanlage verstanden.In order to obtain a regular update and thus a particularly precise forecast regarding the build-up and/or reduction of a backlog and a waiting time, it can be provided according to the invention that individual steps of the method according to the invention are preferably repeated cyclically. As part of a cyclical repetition of the method in question, 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. Furthermore, within the scope of the invention it can advantageously be provided that a comparison between the determined values and reference values is carried out during the individual steps of the method according to the invention, the determined values preferably being averaged and/or weighted before a comparison with reference values. Weighting can be carried out in particular with regard to the meaningfulness of the values. Values determined under comparable conditions can serve as a reference value. A physical traffic light system can be formed in particular in the form of a traffic light or the like. In the context of the invention, movement data from motor vehicles is understood to mean, in particular, GPS signals via which a time course of current geographical locations of motor vehicles can be reproduced, with the movement data preferably being transmitted and received in relation to a specific vehicle ID. In the present case, a stopping 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. According to the invention, a spatial and temporal distribution of the stopping processes is understood to mean, in particular, a trajectory or a journey traveled by a vehicle in question. In the context of the invention, an objective crossing of a backlog is ultimately understood to mean a crossing up to a crossing of a defined stop line, which is preferably arranged directly at a relevant traffic light system. An infrastructure connection is specifically understood to mean a direct connection or a direct data or communication connection to a lighting system.
Im Rahmen der Erfindung ist erkannt worden, dass nur auf Basis von Bewegungsdaten eines Kraftfahrzeugs über eine entsprechende erfindungsgemäße Verarbeitung der Bewegungsdaten bereits eine hinreichend genaue Prognose bezüglich eines Auf- und/oder Abbaus eines Rückstaus von Kraftfahrzeugen und eine Wartezeit bis zum Durchqueren des Rückstaus vor einer Lichtsignalanlage erstellt werden kann, die keine direkte Infrastrukturanbindung benötigt.In the context of the invention, it has been recognized that only on the basis of movement data of a motor vehicle via appropriate processing of the movement data according to the invention can a sufficiently accurate forecast be made regarding the build-up and / or reduction of a backlog of motor vehicles and a waiting time until the backlog is crossed before one Traffic signal systems can be created that do not require a direct infrastructure connection.
Dies ermöglicht insbesondere eine besonders unaufwändige Anwendung und vielseitige Einsetzbarkeit des erfindungsgemäßen Verfahrens.This enables, in particular, a particularly uncomplicated application and versatile usability of the method according to the invention.
Im Rahmen einer besonders genauen und aussagekräftigen Prognose bezüglich eines Auf- und/oder Abbaus eines Rückstaus von Kraftfahrzeugen und einer Wartezeit bis zum Durchqueren des Rückstaus kann erfindungsgemäß vorgesehen sein, dass das Ermitteln von Haltevorgängen vor einer Lichtsignalanlage das Auswerten von Kartendaten und/oder Metainfrastrukturdaten umfasst. Unter Kartendaten wird hierbei insbesondere ein vorzugsweise vektorisiertes Straßennetzwerk mit definierten Start- und Endpunkten, Knoten sowie weiteren Elementen zur abstrakten Repräsentierung eines realen Straßennetzwerks verstanden. Als Metainfrastrukturdaten können hingegen weitere auf Kartenmaterial basierende Informationen von Objekten abseits des Straßennetzes, wie beispielsweise Bäume, Schilder, Warnzeichen, Verkehrszeichen und dergleichen dienen. Neben einer Integration einer Auswertung von Kartendaten und/oder Metainfrastrukturdaten in den erfindungsgemäßen Verfahrensschritt eines Ermittelns von Haltevorgängen vor einer Lichtsignalanlage, kann die Auswertung von Kartendaten und/oder Metainfrastrukturdaten auch in die anderen Schritte des erfindungsgemäßen Verfahrens integriert sein.As part of a particularly accurate and meaningful forecast regarding the build-up and/or reduction of a backlog of motor vehicles and a waiting time until the backlog is crossed, it can be provided according to the invention that the determination of stopping processes in front of a traffic signal system includes the evaluation of map data and/or metainfrastructure data . Map data is understood to mean, in particular, a preferably vectorized road network with defined start and end points, nodes and other elements for the abstract representation of a real road network. However, other map-based information from objects off the road network, such as trees, signs, warning signs, traffic signs and the like, can serve as metainfrastructure data. In addition to integrating an evaluation of map data and/or metainfrastructure data into the method step according to the invention of determining stopping processes in front of a traffic signal system, the evaluation of map data and/or metainfrastructure data can also be integrated into the other steps of the method according to the invention.
Zur Steigerung der Genauigkeit des gegenständlichen Verfahrens kann erfindungsgemäß vorteilhafterweise vorgesehen sein, dass das Ermitteln von Haltevorgängen vor einer Lichtsignalanlage das Auswerten von zusätzlichen sensorisch erfassten Daten umfasst. Zusätzliche sensorisch erfasste Daten können hierbei beispielsweise Daten, wie eine aktuelle Umgebungstemperatur, ein aktueller Umgebungsdruck, eine aktuelle Luftfeuchtigkeit, insbesondere ein aktuelles Sichtverhältnis, eine aktuelle Fahrbahnstruktur, aber auch weitere fahrzeugspezifische Daten, wie eine aktuelle Fahrtgeschwindigkeit, eine aktuelle Drehzahl oder dergleichen sein, die insbesondere zur Verfeinerung der gewonnenen Daten dienen können.In order to increase the accuracy of the method in question, it can advantageously be provided according to the invention that the determination of stopping processes in front of a traffic signal system includes the evaluation of additional data recorded by sensors. Additional data recorded by sensors 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 can be used in particular to refine the data obtained.
Im Hinblick auf eine exakte Bestimmung eines Fahrtweges bzw. einer Trajektorie eines Fahrzeugs kann insbesondere vorgesehen sein, dass das Ermitteln der räumlichen und zeitlichen Verteilung der Haltevorgänge eine Projektion der Bewegungsdaten auf ein digitales Kartennetz umfasst. Eine Projektion der Bewegungsdaten auf ein digitales Kartennetz erlaubt hierbei insbesondere die Bestimmung eines Fahrweges eines Kraftfahrzeugs über die Verwendung selbst ungenauer GPS-Daten. Zudem kann im Rahmen eines Ermittelns der räumlichen und zeitlichen Verteilung der Haltevorgänge eine Clusteranalyse der Trajektorien nach bestimmten Kriterien, beispielsweise nach einem Fahrstrom oder dergleichen vorgesehen sein. Des Weiteren kann hinsichtlich eines Ermittelns der räumlichen und zeitlichen Verteilung der Haltevorgänge auch eine Bestimmung der Überquerungszeiten einer Haltelinie und/oder der Haltezeiten der Haltevorgänge an einer Haltelinie vorgesehen sein.With regard to an exact determination of a route or a trajectory of a vehicle, it can be provided in particular that the determination of the spatial and temporal distribution of the stopping processes includes 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 motor vehicle's route using even inaccurate GPS data. In addition, as part of determining the spatial and temporal distribution of the stopping processes, a cluster analysis of the trajectories according to certain criteria, for example according to a traction current or the like, can be provided. Furthermore, with regard to determining the spatial and temporal distribution of the stopping processes, a determination of the crossing times of a stop line and/or the stopping times of the stopping processes at a stop line can also be provided.
Im Rahmen einer exakten und aussagekräftigen Prognose bezüglich eines Auf- und/oder Abbaus des Rückstroms der Kraftfahrzeuge und einer Wartezeit bis zum Durchqueren des Rückstroms ist erfindungsgemäß vorgesehen, dass das Ermitteln der räumlichen und zeitlichen Verteilung der Haltevorgänge eine Auswertung von Informationen bezüglich der Lichtsignalanlage umfasst. Eine Auswertung von Informationen bezüglich der Lichtsignalanlage kann hierbei insbesondere die Bestimmung der Grün- und Rotphasen sowie des Schaltzyklus umfassen, die nicht über eine Kommunikationsanbindung an die betreffende Lichtsignalanlage, sondern erfindungsgemäß aus den Bewegungsdaten von Kraftfahrzeugen ermittelt werden. Bezüglich der Bestimmung der Grün- und Rotphasen kann hierbei insbesondere die Dauer und/oder Schaltfrequenz oder dergleichen bestimmt werden.As part of an exact and meaningful forecast regarding a build-up and/or reduction of the return flow of the motor vehicles and a waiting time until the return flow passes through, the invention provides that determining the spatial and temporal distribution of the stopping processes includes an evaluation of information regarding the traffic signal system. An evaluation of information regarding the traffic signal system can in particular include the determination of the green and red phases as well as the switching cycle, which are not determined via a communication connection to the relevant traffic signal system, but according to the invention from the movement data of motor vehicles. With regard to the determination of the green and red phases, in particular the duration and/or switching frequency or the like can be determined.
Im Hinblick auf eine einfache und zugleich aussagekräftige Prognose bezüglich eines Auf- und/oder Abbaus des Rückstaus und einer Wartezeit kann erfindungsgemäß vorteilhafterweise vorgesehen sein, dass das Erstellen einer Prognose zumindest teilweise auf der Anwendung eines linearen Modells basiert. Vorzugsweise umfasst das Modell hierbei die Bestimmung einer Wartezeit und/oder die Bestimmung einer maximalen Rückstaulänge. Vorteilhafterweise basiert das Erstellen einer Prognose hierbei zumindest teilweise auf der Anwendung eines Stoßwellenmodells. Stoßwellen können hierbei insbesondere als Nebenprodukte von Verkehrsstaus und Warteschlangen vorkommen und sich in Form einer ausbreitenden Welle in den Übergangszonen zwischen zwei Verkehrszuständen durch eine Verkehrsumgebung bewegen. Im Straßenverkehr sind die Wellen als Übergang von einem fließenden, schnellen Zustand in einen überlasteten, stillstehenden Zustand oder im umgekehrten Fall von einem stillstehenden Zustand, in einen plötzlich beschleunigenden Zustand zu finden. Stoßwellen stellen hierbei ein großes Sicherheitsproblem dar, da die plötzliche Änderung der Bedingungen, die Fahrer beim Durchlaufen einer Stoßwellen erleben, oft zu Unfällen führen kann.With regard to a simple and at the same time meaningful forecast regarding a build-up and/or reduction of the backlog and a waiting time, it can advantageously be provided according to the invention that the creation of a forecast is based at least partially on the application of a linear model. The model preferably includes the determination of a waiting time and/or the determination of a maximum backlog length. Advantageously, the creation of a forecast is based at least partially on the application of a shock wave model. Shock waves can occur in particular as by-products of traffic jams and queues and can move through a traffic environment in the form of a propagating wave in the transition zones between two traffic states. In road traffic, waves can be 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 present a major safety concern as the sudden change in conditions that drivers experience when passing through a shock wave can often lead to accidents.
Im Rahmen eines effektiven Informationsaustausches kann erfindungsgemäß vorteilhafterweise vorgesehen sein, dass eine Ausgabe der Prognose mittels einer Ausgabeeinheit erfolgt. Die Ausgabeeinheit kann hierbei insbesondere in Form einer visuellen Anzeigeeinheit, wie einem Display oder dergleichen gebildet sein, auf dem die erstellte Prognose dann beispielsweise grafisch dargestellt werden kann. Alternativ oder kumulativ ist es allerdings auch möglich, dass die erstellte Prognose akustisch und/oder haptisch oder dergleichen dargestellt wird. Im Rahmen einer grafischen Darstellung einer erstellten Prognose kann letztere zum Zweck einer übersichtlichere Darstellung hierbei insbesondere auch zusammen mit einer digitalen Straßenkarte oder dergleichen dargestellt werden.As part of an effective exchange of information, it can advantageously be provided according to the invention that the forecast is output by means of an output unit. The output unit can in particular be in the form of a visual display unit, such as a display or the like, on which the forecast created can then be displayed graphically, for example. Alternatively or cumulatively, however, it is also possible for the forecast created to be displayed acoustically and/or haptically or the like. As part of a graphical representation of a created forecast, the latter can be displayed in particular together with a digital road map or the like for the purpose of a clearer representation.
Im Hinblick auf eine Anwendung des erfindungsgemäßen Verfahrens bei einer Routenplanung kann erfindungsgemäß vorteilhafterweise ferner vorgesehen sein, dass die Erstellung einer weiteren Prognose vorgesehen ist, wobei die Erstellung der ersten Prognose als Basis zur Erstellung der weiteren Prognose verwendet wird. Es versteht sich, dass neben einer weiteren Prognose auch eine Mehrzahl oder eine Vielzahl von weiteren Prognosen vorgesehen sein kann, die vorzugsweise aufeinander aufbauen und von denen dann die jeweils vorherige Prognose als Basis zur Erstellung der weiteren Prognose verwendet wird. Auf diese Weise ist beispielsweise auch ohne eine Infrastrukturanbindung eine aussagekräftige Prognose bezüglich der Ankunftszeit einer betreffenden Route oder dergleichen möglich.With regard to an application of the method according to the invention in route planning, it can advantageously be further provided according to the invention that the creation of a further forecast is provided, with the creation of the first forecast being used as a basis for creating the further forecast. It is understood that in addition to a further forecast, a plurality or a large number of further forecasts can also be provided, which preferably build on one another and of which the previous forecast is then used as a basis for creating the further forecast. In this way, for example, a meaningful forecast regarding the arrival time of a relevant route or the like is possible even without an infrastructure connection.
Ebenfalls Gegenstand der Erfindung ist ferner ein System zur Bestimmung der Länge eines Rückstaus von Kraftfahrzeugen vor Lichtsignalanlagen und einer durch den Rückstau bedingten Wartezeit. Hierbei umfasst das System eine Datenempfangseinheit zum Empfangen von Bewegungsdaten von Kraftfahrzeugen sowie eine Datenverarbeitungseinheit zum Ermitteln von Haltevorgängen von Kraftfahrzeugen vor einer Lichtsignalanlage aus den Bewegungsdaten, zum Ermitteln einer räumlichen und zeitlichen Verteilung der Haltevorgänge der Kraftfahrzeuge zum Ermitteln der maximalen Länge des Rückstaus von Kraftfahrzeugen und dessen Zeitpunkt sowie zum Erstellen einer Prognose bezüglich eines Auf- und Abbaus des Rückstaus der Kraftfahrzeuge und einer Wartezeit bis zum Durchqueren des Rückstaus. Hierbei zeichnet sich das gegenständliche System dadurch aus, dass zur Erstellung einer Prognose keine Infrastrukturanbindung benötigt wird. Hiermit bringt das erfindungsgemäße System die gleichen Vorteile mit sich, wie sie bereits ausführlich in Bezug auf das erfindungsgemäße Verfahren beschrieben worden sind.Also the subject of the invention is a system for determining the length of a backlog of motor vehicles in front of traffic lights and a waiting time caused by the backlog. Here, the system includes 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 traffic light 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 the same Time and to create a forecast regarding the build-up and reduction of the backlog of motor vehicles and the waiting time until the backlog is crossed. The system in question is characterized by the fact that no infrastructure connection is required to create a forecast. The system according to the invention hereby brings with it the same advantages as have already been described in detail with regard to the method according to the invention.
Hierbei kann das gegenständliche System vorzugsweise eine Ausgabeeinheit zur Ausgabe der Prognose umfassen. Wie bereits voranstehend in Bezug auf das erfindungsgemäße Verfahren beschrieben, kann die Ausgabeeinheit hierbei insbesondere in Form einer visuellen Anzeigeeinheit, wie einem Display oder dergleichen gebildet sein, auf dem die erstellte Prognose beispielsweise grafisch dargestellt werden kann. Alternativ oder kumulativ ist ebenso möglich, die erstellte Prognose akustisch und/oder haptisch oder dergleichen darzustellen.The system in question can preferably include an output unit for outputting the forecast. As already described above with regard to the method according to the invention, the output unit can in particular be in the form of a visual display unit, such as a display or the like, on which the forecast created can be displayed graphically, for example. Alternatively or cumulatively, it is also possible to display the forecast created acoustically and/or haptically or the like.
Im Hinblick auf eine schnelle und ungestörte Datenübertragung kann das gegenständliche System bspw. drahtgebunden ausgeführt sein, wobei die einzelnen Systemkomponenten vorzugsweise über eine in Form eines BUS-Systems oder dergleichen gebildete Kommunikations- und Steuerleitung miteinander verbunden sind. Im Hinblick auf eine besonders flexible und unkomplizierte Kommunikation der einzelnen Systemeinheiten, können die einzelnen Systemkomponenten ferner auch drahtlos bzw. kontaktlos auf Server- bzw. Cloud-Basis und/oder via Internet miteinander kommunizieren.With a view to fast and undisturbed data transmission, the system in question can, for example, be designed to be wired, with the individual system components preferably being connected to one another via a communication and control line in the form of a BUS system or the like. With a view to particularly flexible and uncomplicated communication between the individual system units, the individual system components can also communicate with each other wirelessly or contactlessly on a server or cloud basis and/or via the Internet.
Ebenfalls Gegenstand der Erfindung ist ferner ein Kraftfahrzeug, umfassend ein voranstehend beschriebenes System.Also the subject of the invention is a motor vehicle comprising a system described above.
Weitere Vorteile, Merkmale und Einzelheiten der Erfindung ergeben sich aus der nachfolgenden Beschreibung, in der unter Bezugnahme auf die Zeichnungen, Ausführungsbeispiele der Erfindung im Einzelnen beschrieben sind. Dabei können die in den Ansprüchen und in der Beschreibung erwähnten Merkmale jeweils einzeln für sich oder in beliebiger Kombination erfindungswesentlich sein.Further advantages, features and details of the invention emerge from the following description, in which exemplary embodiments of the invention are described in detail with reference to the drawings. The features mentioned in the claims and in the description can be essential to the invention individually or in any combination.
Es zeigen:
- Fig. 1
- eine schematische Darstellung der einzelnen Schritte eines erfindungsgemäßen Verfahrens zur Bestimmung der Länge eines Rückstaus von Kraftfahrzeugen an einer Lichtsignalanlage und einer durch den Rückstau bedingten Wartezeit,
- Fig. 2
- eine schematische Darstellung eines linearen Modells zur Erstellung einer Prognose bezüglich eines Auf- und/oder Abbaus des Rückstaus und einer Wartezeit bis zum Durchqueren des Rückstaus,
- Fig. 3
- ein Kraftfahrzeug, umfassend ein erfindungsgemäßes System zur Bestimmung der Länge eines Rückstaus von Kraftfahrzeugen vor einer Lichtsignalanlage und einer durch den Rückstau bedingten Wartezeit.
- Fig. 1
- a schematic representation of the individual steps of a method according to the invention for determining the length of a backlog of motor vehicles at a traffic signal system and a waiting time caused by the backlog,
- Fig. 2
- a schematic representation of a linear model for creating a forecast regarding the build-up and / or reduction of the backlog and a waiting time until the backlog is crossed,
- Fig. 3
- a motor vehicle, comprising a system according to the invention for determining the length of a backlog of motor vehicles in front of a traffic signal system and a waiting time caused by the backlog.
Hierbei erfolgt in dem erfindungsgemäßen Verfahren in einem ersten Schritt zunächst ein Empfangen 20 von Bewegungsdaten 10` von Kraftfahrzeugen 10 mittels einer Datenempfangseinheit 4. Als Bewegungsdaten 10` werden hierbei insbesondere GPS-Signale verstanden, über die ein zeitlicher Verlauf aktueller geographischer Standorte von Kraftfahrzeugen 10 wiedergegeben werden kann. Die Bewegungsdaten 10` können hierbei vorzugsweise in Bezug auf eine bestimmte Fahrzeug-ID übermittelt und empfangen werden.In the method according to the invention, in a first step, movement data 10' from
In einem zweiten Schritt des erfindungsgemäßen Verfahrens erfolgt anschließend ein Ermitteln 22 von Haltevorgängen von Kraftfahrzeugen 10 vor einer Lichtsignalanlage 12 aus den innerhalb des vorangehenden Schrittes empfangenen Bewegungsdaten 10` mittels einer Datenverarbeitungseinheit 2. Unter einem Haltevorgang eines Kraftfahrzeugs 10 wird insbesondere ein Vorgang verstanden, bei dem ein Kraftfahrzeug 10 zumindest kurzzeitig infolge eines Haltesignals stoppt.In a second step of the method according to the invention, stops of
In einem dritten Schritt des erfindungsgemäßen Verfahrens erfolgt anschließend ein Ermitteln 24 der räumlichen und zeitlichen Verteilung der Haltevorgänge der Kraftfahrzeuge 10 mittels der Datenverarbeitungseinheit 2. Unter einer räumlichen und zeitlichen Verteilung der Haltevorgänge wird hierbei insbesondere eine von einem betreffenden Fahrzeug 10 zurückgelegte Trajektorie bzw. ein zurückgelegter Fahrtverlauf verstanden.In a third step of the method according to the invention, the spatial and temporal distribution of the stopping processes of the
In einem weiteren Schritt des erfindungsgemäßen Verfahrens erfolgt anschließend ein Ermitteln 26 der maximalen Länge des Rückstaus R von Kraftfahrzeugen 10 und dessen Zeitpunkt mittels der Datenverarbeitungseinheit 2, bevor in einem weiteren Schritt das Erstellen 28 einer Prognose bezüglich eines Auf- und/oder Abbaus des Rückstaus R der Kraftfahrzeuge 10 und einer Wartezeit T bis zum Durchqueren des Rückstaus R mittels der Datenverarbeitungseinheit 2 erfolgt.In a further step of the method according to the invention, the maximum length of the backlog R of
Das gegenständliche Verfahren zeichnet sich hierbei insbesondere dadurch aus, dass das Erstellen 28 einer Prognose keine Infrastrukturanbindung, wie beispielsweise eine direkte Anbindung bzw. eine direkte Daten- oder Kommunikationsverbindung zu einer Lichtanlage 12 benötigt.The method in question is characterized in particular by the fact that creating 28 a forecast does not require any infrastructure connection, such as a direct connection or a direct data or communication connection to a
In einem abschließenden optionalen sechsten Schritt des erfindungsgemäßen Verfahrens kann ferner noch eine Ausgabe 30 der Prognose mittels einer Ausgabeeinheit 6 erfolgen. Eine Ausgabeeinheit 6 kann hierbei insbesondere in Form einer visuellen Anzeigeeinheit, wie einem Display oder dergleichen gebildet sein, auf dem die erstellte Prognose grafisch dargestellt werden kann. Alternativ oder kumulativ ist es auch möglich, dass die erstellte Prognose akustisch und/oder haptisch oder dergleichen dargestellt wird. Im Rahmen einer grafischen Darstellung einer erstellten Prognose kann letztere zum Zweck einer übersichtlicheren Darstellung beispielsweise auch zusammen mit einer digitalen Straßenkarte oder dergleichen dargestellt werden.In a final optional sixth step of the method according to the invention, an
Gemäß dem in
In einem ersten Bereich A erfolgt hierbei ein linearer Verlauf der Verringerung eines Abstands x eines Fahrzeugs 10 zur Lichtsignalanlage 12 mit der Zeit t, bis zum Erreichen des Bereichs B. In dem Bereich B erfolgt dann aufgrund der Rotphase 12c der Lichtsignalanlage 12 die Bildung eines Rückstaus R von Fahrzeugen 10, die sich aufgrund des Rückstaus R nicht weiter fortbewegen, sodass sich der Abstand x der Fahrzeuge 10 zur Lichtsignalanlage 12 während dieser Phase nicht verringert. Erst in einer weiteren Grünphase 12a erfolgt wiederum eine lineare Verringerung des Abstands x der Kraftfahrzeuge 10 vor der Lichtsignalanlage 12 mit der Zeit t. Anhand des vorliegenden Modells zur Erstellung einer Prognose bezüglich eines Auf- und/oder Abbaus des Rückstaus R der Kraftfahrzeuge 10 und einer Wartezeit T bis zum Durchqueren des Rückstaus R kann nicht nur die Wartezeit T eines Kraftfahrzeugs 10, sondern somit auch der maximale Rückstau Rmax bestimmt werden.In a first area A, a linear course of the reduction of a distance x of a
Mittels des erfindungsgemäßen Verfahrens bzw. des erfindungsgemäßen Systems 1 zur Bestimmung der Länge eines Rückstaus R von Kraftfahrzeugen 10 vor einer Lichtsignalanlage 12 und einer durch den Rückstau R bedingten Wartezeit T, ist es insbesondere möglich, dass einzig auf Basis von Bewegungsdaten 10` von Kraftfahrzeugen 10 über eine entsprechende erfindungsgemäße Verarbeitung der Bewegungsdaten 10` bereits eine hinreichend genaue Prognose bezüglich eines Auf- und/oder Abbaus eines Rückstaus von Kraftfahrzeugen 10 und eine Wartezeit T bis zum Durchqueren des Rückstaus R vor einer Lichtsignalanlage 12 erstellt werden kann, die keine direkte Infrastrukturanbindung benötigt. Dies ermöglicht insbesondere eine besonders unaufwändige Anwendung und vielseitige Einsetzbarkeit des erfindungsgemäßen Verfahrens.By means of the method according to the invention or the
- 11
- System zur Bestimmung der Länge eines RückstausSystem for determining the length of a backlog
- 22
- DatenverarbeitungseinheitData processing unit
- 33
- Kommunikations- und SteuerleitungCommunication and control line
- 44
- DatenempfangseinheitData receiving unit
- 66
- AusgabeeinheitOutput unit
- 1010
- Kraftfahrzeugmotor vehicle
- 10`10`
- BewegungsdatenMovement data
- 1212
- LichtsignalanlageLight signaling system
- 12a12a
- grüne Signalphase einer Lichtsignalanlagegreen signal phase of a traffic signal system
- 12b12b
- gelbe Signalphase einer Lichtsignalanlageyellow signal phase of a traffic signal system
- 12c12c
- rote Signalphase einer Lichtsignalanlagered signal phase of a traffic signal system
- 2020
- Empfangen von BewegungsdatenReceiving movement data
- 2222
- Ermitteln von HaltevorgängenDetermining stops
- 2424
- Ermitteln der räumlichen und zeitlichen VerteilungDetermine the spatial and temporal distribution
- 2626
- Ermitteln der maximalen Länge eines RückstausDetermining the maximum length of a backlog
- 2828
- Erstellen einer PrognoseCreating a forecast
- 28'28'
- Erstellen einer weiteren PrognoseCreating another forecast
- 3030
- Ausgabe einer PrognoseOutput of a forecast
- RR
- RückstauBacklog
- RmaxRmax
- maximaler Rückstaumaximum backlog
- TT
- Wartezeitwaiting period
- xx
- Entfernung zur LichtsignalanlageDistance to traffic lights
- tt
- ZeitTime
- AA
- erster Bereichfirst area
- Bb
- zweiter Bereichsecond area
- CC
- dritter Bereichthird area
Claims (10)
- Method for determining the length of a tailback (R) of motor vehicles (10) at a set of traffic lights (12) and a waiting time (T) due to the tailback (R), comprising the steps of:- receiving (20) movement data (10') from motor vehicles (10) by means of a data reception unit (4),- ascertaining (22) stopping processes of motor vehicles (10) in front of a set of traffic lights (12) from the movement data (10') by means of a data processing unit (2),- ascertaining (24) the spatial and temporal distribution of the stopping processes of the motor vehicles (10) by means of the data processing unit (2),characterized in that the method moreover comprises:- ascertaining (26) the maximum length of the tailback (R) of motor vehicles (10) and the time of said tailback by means of the data processing unit (2),- making (28) a forecast for the build-up and/or clearance of the tailback (R) of the motor vehicles (10) and a waiting time (T) before passage through the tailback (R) by means of the data processing unit (2),wherein the making (28) of a forecast requires no infrastructure connection,wherein the ascertainment (24) of the spatial and temporal distribution of the stopping processes comprises an evaluation of information about the set of traffic lights (12),wherein the information about the set of traffic lights (12) is ascertained from the movement data of motor vehicles.
- Method according to Claim 1,
wherein
the ascertainment (22) of stopping processes in front of a set of traffic lights (12) comprises evaluating map data and/or meta-infrastructure data. - Method according to Claim 1 or 2,
wherein
the ascertainment (22) of stopping processes in front of a set of traffic lights (12) comprises evaluating additional data captured by sensor. - Method according to one of the preceding claims, wherein
the ascertainment (24) of the spatial and temporal distribution of the stopping processes comprises a projection of the movement data (10') onto a digital map network. - Method according to one of the preceding claims, wherein
the making (28) of a forecast for the build-up and/or clearance of the tailback (R) and a waiting time (T) before passage through the tailback (R) is based at least in part on the application of a linear model. - Method according to one of the preceding claims, wherein
there is provision for an output (30) of the forecast by means of an output unit (6). - Method according to one of the preceding claims, wherein
there is provision for the making (28') of a further forecast, the making (28) of the first forecast being used as a basis for making (28') the further forecast. - System (1) for determining the length of a tailback (R) of motor vehicles (10) in front of sets of traffic lights (12) and a waiting time (T) due to the tailback (R), comprising:- a data reception unit (4) for receiving (20) movement data (10') from motor vehicles (10),- a data processing unit (2) for ascertaining (22) stopping processes of motor vehicles (10) in front of a set of traffic lights (12) from the movement data (10'), for ascertaining (24) a spatial and temporal distribution of the stopping processes of the motor vehicles (10), wherein the ascertainment (14) of the spatial and temporal distribution of the stopping processes comprises an evaluation of information about the set of traffic lights (12), the information about the set of traffic lights (12) being ascertained from the movement data of motor vehicles, for ascertaining (26) the maximum length of the tailback (R) of motor vehicles (10) and the time of said tailback and for making (28) a forecast for the build-up and clearance of the tailback (R) of the motor vehicles (10) and a waiting time (T) before passage through the tailback (R),wherein the system (1) requires no infrastructure connection for making (28) a forecast.
- System (1) according to Claim 8,
wherein there is provision for an output unit (6) for outputting (30) the forecast. - Motor vehicle (10) comprising a system (1) according to either of Claims 8 and 9.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102018010003.1A DE102018010003A1 (en) | 2018-12-27 | 2018-12-27 | Backflow detection from movement data |
PCT/EP2019/083279 WO2020135974A1 (en) | 2018-12-27 | 2019-12-02 | Tailback detection on the basis of movement data |
Publications (2)
Publication Number | Publication Date |
---|---|
EP3903292A1 EP3903292A1 (en) | 2021-11-03 |
EP3903292B1 true EP3903292B1 (en) | 2024-02-28 |
Family
ID=68808319
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP19816582.1A Active EP3903292B1 (en) | 2018-12-27 | 2019-12-02 | Tailback detection on the basis of movement data |
Country Status (3)
Country | Link |
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EP (1) | EP3903292B1 (en) |
DE (1) | DE102018010003A1 (en) |
WO (1) | WO2020135974A1 (en) |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE10022812A1 (en) * | 2000-05-10 | 2001-11-22 | Daimler Chrysler Ag | Method for determining the traffic situation on the basis of reporting vehicle data for a traffic network with traffic-regulated network nodes |
DE10110327A1 (en) * | 2001-03-03 | 2002-09-19 | Daimler Chrysler Ag | Position determination system for actual traffic situation uses mobile phones with unique identifying number allowing phone density and locations to be monitored over time |
DE102008022349A1 (en) | 2008-05-02 | 2009-11-12 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Method and device for determining tailback lengths at traffic lights |
DE102011081609A1 (en) * | 2011-08-26 | 2013-02-28 | Robert Bosch Gmbh | Method for evaluating situation of vehicle approaching signaling system, involves determining approach information based on signaling data corresponding to upcoming signal change of signaling system |
DE102011122297A1 (en) | 2011-12-23 | 2013-06-27 | Daimler Ag | Method for generating and using traffic-relevant information by vehicles of a vehicle pool |
DE102015202451A1 (en) * | 2015-02-11 | 2016-08-11 | Volkswagen Aktiengesellschaft | Device and method for accelerating a vehicle when starting at a traffic light system |
US10019898B2 (en) * | 2016-01-14 | 2018-07-10 | Siemens Industry, Inc. | Systems and methods to detect vehicle queue lengths of vehicles stopped at a traffic light signal |
DE102016013972A1 (en) | 2016-11-23 | 2018-05-24 | Opel Automobile Gmbh | Driver assistance system and method |
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2018
- 2018-12-27 DE DE102018010003.1A patent/DE102018010003A1/en active Pending
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- 2019-12-02 EP EP19816582.1A patent/EP3903292B1/en active Active
- 2019-12-02 WO PCT/EP2019/083279 patent/WO2020135974A1/en unknown
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DE102018010003A1 (en) | 2020-07-02 |
EP3903292A1 (en) | 2021-11-03 |
WO2020135974A1 (en) | 2020-07-02 |
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