NL2012667B1 - A traffic system, a method and a computer program product. - Google Patents

A traffic system, a method and a computer program product. Download PDF

Info

Publication number
NL2012667B1
NL2012667B1 NL2012667A NL2012667A NL2012667B1 NL 2012667 B1 NL2012667 B1 NL 2012667B1 NL 2012667 A NL2012667 A NL 2012667A NL 2012667 A NL2012667 A NL 2012667A NL 2012667 B1 NL2012667 B1 NL 2012667B1
Authority
NL
Netherlands
Prior art keywords
traffic
simulation model
log files
traffic simulation
vehicle
Prior art date
Application number
NL2012667A
Other languages
Dutch (nl)
Other versions
NL2012667A (en
Inventor
Van Der Bijl Bas
Original Assignee
Grontmij Nederland B V
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 Grontmij Nederland B V filed Critical Grontmij Nederland B V
Priority to NL2012667A priority Critical patent/NL2012667B1/en
Publication of NL2012667A publication Critical patent/NL2012667A/en
Application granted granted Critical
Publication of NL2012667B1 publication Critical patent/NL2012667B1/en

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
    • G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons

Abstract

The invention relates to a traffic data processing system, comprising a processing unit that is arranged for performing a number of steps. The steps include a step of collecting traffic sensor data log files and a step of running a traffic simulation model. Further, the steps include a step of using the traffic sensor data log files for introducing vehicles in the traffic simulation model and associating positions to the introduced vehicles, and a step of applying the traffic simulation model for estimating individual vehicle movements.

Description

Title: A traffic system, a method and a computer program product
The invention relates to a traffic data processing system for performing the steps of collecting traffic sensor data log files.
Such systems are e.g. known for analyzing traffic images or for controlling traffic lights. Although these known systems may function in an acceptable way, there is a continuous desire for improvement, e.g. for the purpose of minimizing vehicle delay or air pollution.
It is an object of the invention to provide a traffic data processing system wherein the above-mentioned disadvantage is reduced. In particular, the invention aims at obtaining a traffic data processing system that provides more accurate, reliable and/or stable image of traffic in a road area of interest. Thereto, according to an aspect of the invention, a traffic data processing system is provided, comprising a processing unit that is arranged for performing the steps of collecting traffic sensor data log files, running a traffic simulation model, using the traffic sensor data log files for introducing vehicles in the traffic simulation model and associating positions to the introduced vehicles, and applying the traffic simulation model for estimating individual vehicle movements.
By using traffic sensor data log files for introducing vehicles and associating positions thereof in a traffic simulation model, actual individual vehicle movements can be estimated in an accurate, reliable and stable manner, for a wide scope of traffic applications. Advantageously, existing sensor data can be applied for improving the insight in traffic images. In this way, an integral overview over a whole road area of interest can be obtained without adding new data connecting lines. When applied to vehicle control systems, traffic lights and other vehicle control indicators can proactively be controlled to optimize a traffic flow.
It is noted that patent publication US 2002/0198694 discloses systems and methods for geographically based analyses of traffic being carried over a wide scale traffic network. A traffic simulator capable of modeling a flow of traffic across a roadway is used in combination with road sensors that register the passage of vehicles and any two of three fundamental traffic flow parameters: density, speed and flow.
It is further noted that the International patent publication WO 2014/152554 discloses a lane-level vehicle routing and navigation apparatus including a simulation module that performs microsimulation of individual vehicles in a traffic stream.
It noted that the article entitled “The impacts of a communication based merging assistant on traffic flows of manual and equipped vehicles at an on-ramp using traffic flow simulation” discloses a decentralized merging assistant for mixed traffic situations aiming to increase traffic flow stability around the merging area by minimizing the conflict and limiting the changes in speed, and that the American patent publication US 2008/306678 discloses a travel history collection system.
The invention also relates to a method.
Further, the invention relates to a computer program product. A computer program product may comprise a set of computer executable instructions stored on a data carrier, such as a flash memory, a CD or a DVD. The set of computer executable instructions, which allow a programmable computer to carry out the method as defined above, may also be available for downloading from a remote server, for example via the Internet, e.g. as an app.
Other advantageous embodiments according to the invention are described in the following claims.
By way of example only, embodiments of the present invention will now be described with reference to the accompanying figures in which
Fig. 1 shows a block scheme of a traffic data processing system according to the invention, and
Fig. 2 shows a flow chart of a method of processing traffic data according to the invention.
The figures are merely schematic views of a preferred embodiment according to the invention. In the figures, the same reference numbers refer to equal or corresponding parts.
Figure 1 shows a block scheme of a traffic data processing system 10 according to the invention. The system 10 comprises a processing unit 11 for evaluating data. Further, the system 10 comprises a multiple number of input terminals 12, 13, 14 that are connected, via corresponding data lines 52, 53, 54, to corresponding traffic sensors 62, 63, 64. By receiving data signals from the individual traffic sensors 62, 63, 64 traffic sensor data log Files can be collected by the processing unit 11.
Traffic sensors may e.g. include an induction loop in the road, a radar unit, a laser unit, a push or touch button, a unit recognizing sound and/or optic signals of emergency vehicles, a radio sensor, a camera unit, etc. Generally, a traffic sensor is arranged for sensing the presence of a vehicle, usually at a stationary position above, on, below or next to a road or a traffic lane.
Traffic sensor data log files represent time dependent vehicle presence detection information in a road area of interest. The log files can be generated by the processing unit 11, based on sensor data is input via the input terminals 12, 13, 14. Alternatively, the log files can be retrieved from traffic sensors that are provided with a data pre-processing system.
The system 1 further comprises a multiple number of output terminals 15, 16 for transmitting, via corresponding further data lines 55, 56, data to further units 65, 66. The further units 65, 66 may e.g. include a visualization apparatus such as a display for displaying information, a further processing unit for further processing the transmitted data, e.g. for storing purposes, and/or a traffic control system such as for controlling traffic lights and/or for ramp metering (Dutch: Toerit Doseer Installatie TDI). Further, information can be made available, e.g. for public inspection, such as traffic information and/or travel time information.
In the shown embodiment, the system 1 has three input terminals 12, 13, 14 and two output terminals 15, 16. However, the system 1 can also be provided with another number of input terminals and output terminals, e.g. with two input terminals and one output terminal or with 25 input terminals and 35 output terminals.
During operation, a traffic simulation model is loaded on the processing unit 11. The model is arranged for estimating individual vehicle movements based on statistics. Such traffic simulation models are commercially available. Usually, initial vehicle positions are generated using a Poisson distribution.
According to an aspect, the traffic sensor data log files are used for introducing vehicles in the traffic simulation model. Also, positions of the introduced vehicles are defined in the model, based on the traffic sensor data log files. As an example, vehicles are introduced at the border of the road area of interest, or at another location in the road area of interest, e.g. near a traffic light. By running, on the traffic simulation model, the processing unit 11, movements of the introduced individual vehicles can be estimated. Then, the vehicles detected by the traffic sensors are followed in the road area of interest.
Preferably, a vehicle position in the traffic simulation model is calibrated using a traffic sensor data log file. In a highly preferable way, the calibrating step is applied repeatedly, and for a multiple number of introduced vehicles, thereby efficiently using information that is made available in the data log files. Then, from time to time, a vehicle’s position is tracked and corrected with real world measurements.
Advantageously, the processing unit 11 verifies whether vehicle position data in a log file corresponds with a vehicle introduced in the traffic simulation model. Preferably, a cost function is applied to find an optimal match between introduced vehicle and measured vehicle position data. Also, the cost function can be applied to determine whether the verification step has a positive result or not, depending on whether the cost function exceeds a pre-defined error level, or not. If the verifying step has a positive result, the position of the identified vehicle can be calibrated. Similarly, if the verifying step has a negative result, a new vehicle can be introduced in the traffic simulation model.
Optionally, a vehicle is removed from the traffic simulation model if its estimated movement conflicts with vehicle position data in a log file.
As an example, if position data is expected in a specific data log file, based on the estimated vehicle movement, and such position data is not available in said data log file, it may be assumed that the estimated vehicle movement is false, e.g. due to an unexpected deviation of the vehicle movement. Then, a further movement estimation of said particular vehicle may be meaningless.
Optionally, the traffic sensor data log files are synchronized with a time parameter of the traffic simulation model. The time parameter is associated with each estimated individual vehicle movement. By synchronizing the log files with the model time parameter, vehicle detections can be compared with positions where vehicles are expected based on the estimations of the traffic simulation model. In fact, the traffic simulation model is from time to time calibrated with sensor detection measurements.
By matching an event in the data log files with a vehicle in the traffic simulation model, depending on estimated individual vehicle movements, an accurate, reliable and stable traffic image is represented in the traffic simulation model.
The individual vehicle movements estimated by the model are forwarded as traffic data to the further units 65, 66, e.g. for reconstructing a historie traffic image, evaluating a real time traffic image, predicting a short term traffic image and/or controlling a traffic control system.
For the purpose of reconstructing a historic traffic image, offline log files can be used. Similarly, for the purpose of evaluating a real time traffic image, real time traffic sensor data log files have to be collected by the processing unit 11 so as to minimize delay in the estimations and optimally providing real time traffic information. Also, in case of short term traffic image prediction and in case of traffic control, real time traffic sensor data log files are input to the processing unit for use in the traffic simulation model. Short term traffic image prediction may e.g. relate to travel time information, travel waiting information, traffic jam information, vehicle loss time information, expected environmental pollution information, etc. Traffic prediction can be used for optimizing and/or controlling traffic systems such as traffic lights.
Advantageously, traffic control may include control of traffic light systems in a multiple number of crossings. Actual control may be based on a minimization of specific cost functions including e.g. total vehicle waiting time, environmental pollution, vehicle priority etc.
Figure 2 shows a flow chart of a method of processing traffic data according to the invention. The method comprises a step of collecting 110 traffic sensor data log files, a step of providing 120 a traffic simulation model, a step of using 130 the traffic sensor data log files for introducing vehicles in the traffic simulation model and associating positions to the introduced vehicles, and a step of applying 140 the traffic simulation model for estimating individual vehicle movements.
The method of processing traffic data as identified above, or at least some steps thereof, can be performed using dedicated hardware structures, such as FPGA and/or ASIC components. Otherwise, the method can also at least partially be performed using a computer program product comprising instructions for causing a processor of a computer system or a control unit to perform the above described steps of the method according to the invention at least partly. All steps of a specific method can in principle be performed on a single processor, e.g. the step of collecting traffic sensor data log files. However, it is noted that at least one step can be performed on a separate processor. A processor can be loaded with a specific software module. Dedicated software modules can be provided, e.g. from the Internet.
The invention is not restricted to the embodiments described herein. It will be understood that many variants are possible.
Other such variants will be apparent for the person skilled in the art and are considered to fall within the scope of the invention as defined in the following claims. For the purpose of clarity and a concise description features are described herein as part of the same or separate embodiments. However, it will be appreciated that the scope of the invention may include embodiments having combinations of all or some of the features described.

Claims (12)

1. Systeem voor het verwerken van verkeersgegevens, omvattende een verwerkingseenheid die is ingericht voor het uitvoeren van de stappen van: - het verzamelen van logbestanden van verkeersmeetgegevens; - het runnen van een verkeerssimulatiemodel; - het gebruiken van de logbestanden van verkeersmeetgegevens voor het introduceren van voertuigen in het verkeerssimulatiemodel en het associëren van posities aan de geïntroduceerde voertuigen, en - het toepassen van het verkeerssimulatiemodel voor het schatten van individuele voertuigbewegingen.A system for processing traffic data, comprising a processing unit which is adapted to perform the steps of: - collecting log files of traffic measurement data; - running a traffic simulation model; - using the log files of traffic measurement data for introducing vehicles into the traffic simulation model and associating positions with the introduced vehicles, and - applying the traffic simulation model to estimate individual vehicle movements. 2. Werkwijze voor het verwerken van verkeersgegevens, omvattende de stappen van: - het verzamelen van logbestanden van verkeersmeetgegevens; - het runnen van een verkeerssimulatiemodel; - het gebruiken van de logbestanden van verkeersmeetgegevens voor het introduceren van voertuigen in het verkeerssimulatiemodel en het associëren van posities aan de geïntroduceerde voertuigen, en - het toepassen van het verkeerssimulatiemodel voor het schatten van individuele voertuigbewegingen.Method for processing traffic data, comprising the steps of: - collecting log files of traffic measurement data; - running a traffic simulation model; - using the log files of traffic measurement data for introducing vehicles into the traffic simulation model and associating positions with the introduced vehicles, and - applying the traffic simulation model to estimate individual vehicle movements. 3. Werkwijze volgens conclusie 2, voorts omvattende een stap van het kalibreren van een voertuigpositie in het verkeerssimulatiemodel gebruik makend van een logbestand van verkeersmeetgegevens.The method of claim 2, further comprising a step of calibrating a vehicle position in the traffic simulation model using a log of traffic measurement data. 4. Werkwijze volgens conclusie 3, waarbij de kalibratiestap herhaaldelijk wordt toegepast.The method of claim 3, wherein the calibration step is applied repeatedly. 5. Werkwijze volgens één der voorgaande conclusies 2, 3 of 4, voorts omvattende een stap van verificatie of voertuigpositiegegevens in een logbestand corresponderen met een voertuig dat is geïntroduceerd in het verkeerssimulatiemodel.A method according to any one of the preceding claims 2, 3 or 4, further comprising a step of verification or vehicle position data in a log file corresponding to a vehicle introduced in the traffic simulation model. 6. Werkwijze volgens conclusie 3, 4 of 5, waarbij de kalibratiestap wordt uitgevoerd als de verificatiestap een positief resultaat heeft.The method of claim 3, 4 or 5, wherein the calibration step is performed if the verification step has a positive result. 7. Werkwijze volgens conclusie 3, 4 of 5, waarbij een nieuw voertuig in het verkeerssimulatiemodel wordt geïntroduceerd als de verificatiestap een negatief resultaat heeft.Method according to claim 3, 4 or 5, wherein a new vehicle is introduced in the traffic simulation model if the verification step has a negative result. 8. Werkwijze volgens één der voorgaande conclusies 2-7, waarbij een voertuig wordt verwijderd uit het verkeerssimulatiemodel als diens geschatte beweging conflicteert met voertuigpositiegegevens in een logbestand.A method according to any one of the preceding claims 2-7, wherein a vehicle is removed from the traffic simulation model if its estimated movement conflicts with vehicle position data in a log file. 9. Werkwijze volgens één der voorgaande conclusies 2-8, waarbij het verkeerssimulatiemodel wordt gesynchroniseerd met de logbestanden met gebruikmaking van een tijdparameter die is geassocieerd met de geschatte individuele voertuigbewegingen.The method of any one of the preceding claims 2-8, wherein the traffic simulation model is synchronized with the log files using a time parameter associated with the estimated individual vehicle movements. 10. Werkwijze volgens één der voorgaande conclusies 2-8, waarbij een gebeurtenis in de logbestanden met gegevens is samenhang wordt gebracht met een voertuig in het verkeerssimulatiemodel, afhankelijk van geschatte individuele voertuigbewegingen.A method according to any one of the preceding claims 2-8, wherein an event in the data log files is associated with a vehicle in the traffic simulation model, depending on estimated individual vehicle movements. 11. Werkwijze volgens één der voorgaande conclusies 2-8, waarbij de geschatte individuele voertuigbewegingen in het verkeerssimulatiemodel worden gebruikt voor het reconstrueren van een historisch verkeersbeeld, het evalueren van een real time verkeersbeeld, het voorspellen van een korte termijn verkeersbeeld en/of het regelen van een verkeersregelsysteem.A method according to any one of the preceding claims 2-8, wherein the estimated individual vehicle movements in the traffic simulation model are used for reconstructing a historical traffic image, evaluating a real-time traffic image, predicting a short-term traffic image and / or controlling of a traffic control system. 12. Computer programma product voor het verwerken van verkeersgegevens, waarbij het computer programma product voor een computer leesbare instructies omvat om een processor de stappen te doen uitvoeren van: - het verzamelen van logbestanden van verkeersmeetgegevens; - het runnen van een verkeerssimulatiemodel; - het gebruiken van de logbestanden van verkeersmeetgegevens voor het introduceren van voertuigen in het verkeerssimulatiemodel en het associëren van posities aan de geïntroduceerde voertuigen, en - het toepassen van het verkeerssimulatiemodel voor het schatten van individuele voertuigbewegingen.A computer program product for processing traffic data, the computer program product comprising computer readable instructions for causing a processor to perform the steps of: - collecting log files of traffic measurement data; - running a traffic simulation model; - using the log files of traffic measurement data for introducing vehicles into the traffic simulation model and associating positions with the introduced vehicles, and - applying the traffic simulation model to estimate individual vehicle movements.
NL2012667A 2014-04-23 2014-04-23 A traffic system, a method and a computer program product. NL2012667B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
NL2012667A NL2012667B1 (en) 2014-04-23 2014-04-23 A traffic system, a method and a computer program product.

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
NL2012667A NL2012667B1 (en) 2014-04-23 2014-04-23 A traffic system, a method and a computer program product.

Publications (2)

Publication Number Publication Date
NL2012667A NL2012667A (en) 2016-02-03
NL2012667B1 true NL2012667B1 (en) 2016-06-27

Family

ID=51655999

Family Applications (1)

Application Number Title Priority Date Filing Date
NL2012667A NL2012667B1 (en) 2014-04-23 2014-04-23 A traffic system, a method and a computer program product.

Country Status (1)

Country Link
NL (1) NL2012667B1 (en)

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DK1402457T3 (en) * 2001-06-22 2011-05-02 Caliper Corp Traffic data management and simulation system
JP4843913B2 (en) * 2004-07-07 2011-12-21 パナソニック株式会社 Travel history collection system and terminal device
CN105074793A (en) * 2013-03-15 2015-11-18 凯利普公司 Lane-level vehicle navigation for vehicle routing and traffic management

Also Published As

Publication number Publication date
NL2012667A (en) 2016-02-03

Similar Documents

Publication Publication Date Title
JP7075366B2 (en) Methods, devices, equipment and media for classifying driving scene data
Wang et al. A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling
US11693409B2 (en) Systems and methods for a scenario tagger for autonomous vehicles
US20170132117A1 (en) Method and device for generating test cases for autonomous vehicles
US11257309B2 (en) Systems and methods to test an autonomous vehicle
US10885240B2 (en) Deterministic simulation framework for autonomous vehicle testing
US11039414B2 (en) Fingerprint data pre-process method for improving localization model
JP2009259158A (en) Traffic state simulation device, and program
JP7367031B2 (en) System used for sensor synchronization data analysis in autonomous vehicles
CN108216249A (en) The system and method detected for the ambient enviroment of vehicle
Passchier et al. An integral approach to autonomous and cooperative vehicles development and testing
JP2008165332A (en) Traffic flow simulation mismatching decision device and traffic flow simulation mismatching decision method
NL2012667B1 (en) A traffic system, a method and a computer program product.
US20210374438A1 (en) Validating object detection hardware and algorithms
JP2019023620A (en) Method for creating digital map for automated vehicle
CN112415910A (en) Method for evaluating software components of a Sil environment
CN116580271A (en) Evaluation method, device, equipment and storage medium for perception fusion algorithm
JP6366296B2 (en) Route search apparatus and route search method
Xiao et al. Data-driven geospatial-enabled transportation platform for freeway performance analysis
JP2020101962A (en) Relation information preparing device, traffic control system, relation information preparing method, and computer program
CN109523651A (en) Vehicle abnormality detection method and vehicle abnormality detection system
KR102318576B1 (en) Method for computing traffic signal and apparatus for performing the same
Kolen Modelling merging behaviour on freeway on-ramps
Guido et al. Sensitivity of simulated vehicle tracking profiles for input into safety performance analysis.
CN111247815B (en) Microphone calibration system

Legal Events

Date Code Title Description
MM Lapsed because of non-payment of the annual fee

Effective date: 20210501