WO2017201600A1 - Control and manage traffic light system with vanet - Google Patents

Control and manage traffic light system with vanet Download PDF

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Publication number
WO2017201600A1
WO2017201600A1 PCT/CA2016/050582 CA2016050582W WO2017201600A1 WO 2017201600 A1 WO2017201600 A1 WO 2017201600A1 CA 2016050582 W CA2016050582 W CA 2016050582W WO 2017201600 A1 WO2017201600 A1 WO 2017201600A1
Authority
WO
WIPO (PCT)
Prior art keywords
vanet
data
traffic
actuated
tls
Prior art date
Application number
PCT/CA2016/050582
Other languages
French (fr)
Inventor
Francois VAUDRIN
Laurence CAPUS
Original Assignee
Vaudrin Francois
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 Vaudrin Francois filed Critical Vaudrin Francois
Priority to JP2018561702A priority Critical patent/JP2019526092A/en
Priority to KR1020187037406A priority patent/KR20190016040A/en
Priority to PCT/CA2016/050582 priority patent/WO2017201600A1/en
Priority to CN201680086139.XA priority patent/CN110140157A/en
Priority to EP16902617.6A priority patent/EP3465657A4/en
Publication of WO2017201600A1 publication Critical patent/WO2017201600A1/en

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/081—Plural intersections under common control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/095—Traffic lights
    • 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
    • G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
    • G08G1/096716—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information does not generate an automatic action on the vehicle control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
    • G08G1/096725—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
    • G08G1/096741—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where the source of the transmitted information selects which information to transmit to each vehicle
    • 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
    • G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
    • G08G1/09675—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where a selection from the received information takes place in the vehicle
    • 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
    • G08G1/096775—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 a central station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks

Definitions

  • TLS traffic lights systems
  • a programming plan for TLS is preprogrammed to during certain periods of the day and of the week (eg.. From 15:00 to 18:00). This plan is subsequently applied over several years - sometimes over a decade. Moreover, even during peak periods, there are vehicles flow variations. This methodology can not take into account these variations because the arrival of vehicles is simulated by statistical methods as Poisson law. Semi-actuated or fully-actuated systems allow to change the duration of the cycles but they require the installation of detector loops under the pavement and these systems are not intalled throughout the network. In addition, there are significant costs to maintain these systems.
  • the key ingredient of the ITE process is based on the reliability of the data collected from the field.
  • the goal is to count the number of vehicles that pass eat each intersection. It is generally necessary to send a technician on the field to manuually count the number of cars in each junction and in both directions. That task must be done for several days and for various hours of the day and week (rush hour in the morning to the afternoon, evening, weekends, etc.). These data represents the circulation flow that will be use during the simulation. It is a very approximate measure that is taken during a certain period of time. It is far from data measured in real time. Also it is not reprentative of the real situation because the simulation model must do some assumptions like the agressiveness of driver behavior.
  • VANET Vehicular's ad hoc networks networks
  • VANET Vehicular's ad hoc networks networks
  • Every vehicle acts as a node of a temporary network.
  • Each vehicle can receive information from other vehicles every split second (0.1 sec) regarding their status in a range of about 300 meters.
  • the information that circulates in the network are about speed, acceleration, distance between each vehicle, the braking system and so on. This information is transmitted to communication stations installed along the road - Road Side Unit (RSU) and relayed to a Base Station (see Figure 2).
  • RSU Road Side Unit
  • VANET operates on a dedicated frequency spectrum (75 MHz bandwidth and 5.9 GHz allocated by governmental authorities). Furthermore VANET can operate in variable weather conditions (rain, fog, snow) and confidentiality of information is maintained.
  • VANET Voice over IP Network
  • This is done by providing information to drivers on vehicles circulating in the network.
  • the method of data collection and the architecture of our system is described in the attached article (Vaudrin and Capus, Improving Traffic Lights Management Information Sytems Using Available by VANET presented in Germany at the SUMO Conference May 24, 2016).
  • VANET is used in a few studies to manage TLS. However, it is for distributed systems that are different from what we offer. We have also attached an article that reviews the possible uses of VANET. No item proposes a method as accurate as ours to collect traffic data and to process it with actual methods or to do it in real time as we proposed with a centralized system.
  • Our method is more accurate than conventional methods. Our invention will permit to collect data for simulations following the ITE process. Also, it is not necessary to do manual counting on the field or to install sensor and other expensive equipment like cameras and loop detectors. Data collection with our method is free and requires little maintenance.
  • the advantage of this invention is that it is possible to obtain a multitude of parameters and the data processing algorithm is left to the discretion of the public administration.
  • a public administration will have the possibility to revise the programming plans as often as desired. Once a change is observed, it will be possible to quickly do a simulation without returning to the field to get new measures because the system will give them data in real time.
  • the method provides also the necessary ingredients to implement any algorithm that has been previously validated by simulation software.
  • this invention will permit to manage the entire network in real-time of a city. It will transmit data to the control center that will treat them with an appropriate algorithm and transmit the instructions using a dedicated Internet network to a wireless devices installed at each intersection. In our knowledge, this approach as never be describe as we do. Our invention is sufficiently detailed to allow a public administration to implement it while using its own working methods.
  • This method also allows to be used in other contexts, for urban planning studies, transport planning or to simulate the exit of special events (sporting, cultural, festivals, parades, etc.). It also allows programming a system in real time with any efficient algorithm that exists or to be developped.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Atmospheric Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Traffic Control Systems (AREA)

Abstract

The programming of traffic lights systems (TLS) in cities is a complex optimization problem. The main problem of the actual process is that this is a long, expensive and imprecise process that must be repeated regularly to reflect changes in traffic flow. The invention consists of using Vehicular's ad hoc networks (VANET) to collect traffic data in real time and transmit them to a traffic management system. VANET is defined by the IEEE 802.11p standard. We propose to use VANET in correlation with others techniques to achieve better control of TLS. This invention will permit to manage the entire network in real-time of a city and it will be possible to be used for urban planning studies, transport planning or to simulate the exit of special events (sporting, cultural, parades, etc.). It also allows programming TLS in real time with any efficient algorithm that exists or to be developped.

Description

Title : Control and manage Traffic Light System with VANET
1-Description of the invention
Problem
The programming of traffic lights systems (TLS) in cities is a complex optimization problem. The majority of TLS in cities are controlled by electromechanical systems or microprocessors. Few systems are designed to control real-time TLS and to our knowledge no city can automatically control a major TLS in real time.
Generally, a programming plan for TLS is preprogrammed to during certain periods of the day and of the week (eg.. From 15:00 to 18:00). This plan is subsequently applied over several years - sometimes over a decade. Moreover, even during peak periods, there are vehicles flow variations. This methodology can not take into account these variations because the arrival of vehicles is simulated by statistical methods as Poisson law. Semi-actuated or fully-actuated systems allow to change the duration of the cycles but they require the installation of detector loops under the pavement and these systems are not intalled throughout the network. In addition, there are significant costs to maintain these systems.
The current procedure recommended by the Institute of Transportation Engineers (ITE) for programming TLS is shown in Figure 1. This is a complex, lengthy and costly process that need to be revised regularly. This method is used in most public administrations and is still the most reliable method available. This method is done with historical data. It is from these historic data that engineers can determine wich circulation system programming to apply. This work is done by using specialized simulation softwares like SimTraffic, Paramics, AIMSUN, Vissim, etc. These software can model the network to test various optimization scenarios and provide performance measures (waiting time, means speed, lenght of queues, etc.). This is an iterative process that models the network under study and the circulation expert applies a variety of scenarios until he found a satisfactory solution. The solution that seems the best is then retained and is validated again before implementation on the site (Fine Tuning). Programming is carried out on one or many junctions. When the TLS plan is established it is kept unchanged for several years.
The key ingredient of the ITE process is based on the reliability of the data collected from the field. The goal is to count the number of vehicles that pass eat each intersection. It is generally necessary to send a technician on the field to manuually count the number of cars in each junction and in both directions. That task must be done for several days and for various hours of the day and week (rush hour in the morning to the afternoon, evening, weekends, etc.). These data represents the circulation flow that will be use during the simulation. It is a very approximate measure that is taken during a certain period of time. It is far from data measured in real time. Also it is not reprentative of the real situation because the simulation model must do some assumptions like the agressiveness of driver behavior. These data should be taken for several days to establish means and to ensure that it reflect as closely the reality. These studies are also complemented by origin-destination studies to know the path of each vehicules. These complementary studies can be done through surveys and by observations in the field. Other measures can also be obtained by installing vehicle counting loops sensors. These sensors are installed under the pavement and are used to count the number of vehicles which pass over the loop. Whenever a vehicle passes over the sensor, the meter records it.
The main problem of the actual process is that this is a long, expensive and imprecise process that must be repeated regularly to reflect the evolution and changes in traffic flow. ITE recommends revising the programming of TLS at every 3 to 5 years, but 35% of systems are not reprogrammed to over ten years. Tarnoff and Ordonez (2004) estimate that more than half of the systems in the US are not synchronized or poorly maintained.
Our invention
Our invention specifically relates to the data collection process. The invention consists of using Vehicular's ad hoc networks networks (VANET) to collect traffic data in real time and transmit them to a traffic management system. VANET is defined by the IEEE 802. lip standard. In VANET every vehicle acts as a node of a temporary network. Each vehicle can receive information from other vehicles every split second (0.1 sec) regarding their status in a range of about 300 meters. The information that circulates in the network are about speed, acceleration, distance between each vehicle, the braking system and so on. This information is transmitted to communication stations installed along the road - Road Side Unit (RSU) and relayed to a Base Station (see Figure 2). This is called a communication mode from vehicle to vehicle (V2V) and Vehicle to Infrastructure (V2I). VANET operates on a dedicated frequency spectrum (75 MHz bandwidth and 5.9 GHz allocated by governmental authorities). Furthermore VANET can operate in variable weather conditions (rain, fog, snow) and confidentiality of information is maintained.
The main reason why VANET was invented at the beginning of 2000 years is to improve safety on the roads. This is done by providing information to drivers on vehicles circulating in the network. There are many studies on VANET relating to the safety but there is little on the traffic management. We propose to use this technology to collect data and pass it to a system installed in a control center (Figure 3 and others). It will then be possible to use these data to test a variety of scenarios for programming TLS like circulation expert do actually. It will also be possible to use these data for other uses like urban studies. The method of data collection and the architecture of our system is described in the attached article (Vaudrin and Capus, Improving Traffic Lights Management Information Sytems Using Available by VANET presented in Germany at the SUMO Conference May 24, 2016).
As part of our claims, we suggest using an algorithm based on the occupancy rate of each segment. However, there are a plurality of algorithmic techniques that can be used (some more successful than others). Our invention allows to provide a more reliable and economically process to manage TLS that current practices. VANET is used in a few studies to manage TLS. However, it is for distributed systems that are different from what we offer. We have also attached an article that reviews the possible uses of VANET. No item proposes a method as accurate as ours to collect traffic data and to process it with actual methods or to do it in real time as we proposed with a centralized system.
Benefits of our invention
Our method is more accurate than conventional methods. Our invention will permit to collect data for simulations following the ITE process. Also, it is not necessary to do manual counting on the field or to install sensor and other expensive equipment like cameras and loop detectors. Data collection with our method is free and requires little maintenance.
The advantage of this invention is that it is possible to obtain a multitude of parameters and the data processing algorithm is left to the discretion of the public administration. A public administration will have the possibility to revise the programming plans as often as desired. Once a change is observed, it will be possible to quickly do a simulation without returning to the field to get new measures because the system will give them data in real time.
The method provides also the necessary ingredients to implement any algorithm that has been previously validated by simulation software. Eventually, this invention will permit to manage the entire network in real-time of a city. It will transmit data to the control center that will treat them with an appropriate algorithm and transmit the instructions using a dedicated Internet network to a wireless devices installed at each intersection. In our knowledge, this approach as never be describe as we do. Our invention is sufficiently detailed to allow a public administration to implement it while using its own working methods.
This method also allows to be used in other contexts, for urban planning studies, transport planning or to simulate the exit of special events (sporting, cultural, festivals, parades, etc.). It also allows programming a system in real time with any efficient algorithm that exists or to be developped.

Claims

Title : Control and manage Traffic Light System with VANET
Claim #1: Programming of traffic lights (static, semi-actuated or fully actuated) with data from VANET according to the current method of ITE (fig 1, 2, 3)
Our claim is to use the VANET network to collect data and do the programming of traffic lights (static, semi-actuated or fully-actuated). These data would be used to replace historical data measured in the field. The process is the same process as ITE recommend (fig 1). This method has never been proposed, it will permit to get the data at any time, to make simulation scenarios as needed. It shall avoid manual counts vehicles or to install expensive devices sensors in the field.
Claim #2: Loop detectors replacement using VANET
This claim is to use the VANET network according to the architecture shown in figure 4 to replace the semi-actuated or fully actuated existing systems. The system we propose will make use of loop detectors obsolete. We propose to use our system rather than install new loop detectors at intersections. The same task as a loop detector can be do by our system.
Claim #3: To control traffic lights signal in real time using VANET
This claim is to use the VANET network as shown in Figure 5 to control the TLS in real-time. The method is explained in the attached article (Improving Traffic Lights Management Information Sytems Using Available by VANET Vaudrin and Capus). It consists of real time processing data collected by our system and transmit the signal to the traffic lights with a dedicated Internet network. This system does not currently exist. We propose an algorithm in the article based on the average occupancy rate of each road segment but one can use different algorithms. The essential ingredient is to provide information in real time at a frequency of 0.1 seconds and to use an efficient algorithm to process data provided by the system.
Claim # 4: Using data from VANET to do traffic and urban studies
It is possible to know the flow of traffic in a given period and vehicle movements in using parameters provides by VANET. Our claim is to use the VANET network according to the figure 6 to collect data and to use them to make traffic studies. Data will replace the historical data measured in the field through surveys or studies origin-destination. This innovation will save significant amounts to public administrations for the collection of such data.
Claim #5: Management of major events with the help of VANET
This claim is to use VANET network as shown in Figure 7 to help to manage circulation during maj or events (sporting, cultural, parades, manifestation, etc.). This additional information will help human controler and traffic officer to manage circulation during these events. Officials from the control center will then use this information to decide the best strategy. This is additional information that will be complementary to other systems (cameras). The essential ingredient of this claim is to provide realtime information on the circulation movements which is not possible with current systems.
PCT/CA2016/050582 2016-05-24 2016-05-24 Control and manage traffic light system with vanet WO2017201600A1 (en)

Priority Applications (5)

Application Number Priority Date Filing Date Title
JP2018561702A JP2019526092A (en) 2016-05-24 2016-05-24 Control and management of traffic signal system using VANET
KR1020187037406A KR20190016040A (en) 2016-05-24 2016-05-24 Control and management of traffic signal system through VANET
PCT/CA2016/050582 WO2017201600A1 (en) 2016-05-24 2016-05-24 Control and manage traffic light system with vanet
CN201680086139.XA CN110140157A (en) 2016-05-24 2016-05-24 Traffic signal lamp system is controlled and managed using vehicle mobile communication network
EP16902617.6A EP3465657A4 (en) 2016-05-24 2016-05-24 Control and manage traffic light system with vanet

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Application Number Priority Date Filing Date Title
PCT/CA2016/050582 WO2017201600A1 (en) 2016-05-24 2016-05-24 Control and manage traffic light system with vanet

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WO2017201600A1 true WO2017201600A1 (en) 2017-11-30

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EP (1) EP3465657A4 (en)
JP (1) JP2019526092A (en)
KR (1) KR20190016040A (en)
CN (1) CN110140157A (en)
WO (1) WO2017201600A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109658768A (en) * 2018-12-27 2019-04-19 交通运输部科学研究院 A kind of more people of virtual reality are the same as scene mixed traffic flow Simulation Experimental Platform
TWI660331B (en) * 2018-03-22 2019-05-21 創新交通科技有限公司 Method and equipment for generating offset of traffic signal by using travel time

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20240017604A (en) 2022-08-01 2024-02-08 이화여자대학교 산학협력단 Traffic information system and traffic information management method based on vanet environment
KR20240050001A (en) 2022-10-11 2024-04-18 영남대학교 산학협력단 Traffic image information management method, recording medium and information management system for performing the same

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015042776A1 (en) * 2013-09-24 2015-04-02 Harman International Industries, Incorporated Message broadcasting in vanet
US9154982B2 (en) * 2009-04-02 2015-10-06 Trafficcast International, Inc. Method and system for a traffic management network
US20160019788A1 (en) * 2014-07-16 2016-01-21 Sony Corporation Vehicle ad hoc network (vanet)

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06266993A (en) * 1993-03-11 1994-09-22 Hitachi Ltd Highway traffic controller
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
DE602004016952D1 (en) * 2003-01-17 2008-11-20 Siemens Vdo Automotive Corp TRAFFIC SIGNAL PRIORITY SYSTEM BASED ON A MOBILE EVENT
JP4003957B2 (en) * 2003-03-07 2007-11-07 株式会社日立製作所 Data communication method, data communication service providing method, emergency vehicle passage notification method, emergency vehicle passage notification service provision method, wireless spot service implementation method, wireless spot service provision method, emergency vehicle passage notification program, and emergency vehicle passage notification program recording medium
JP2006343814A (en) * 2005-06-07 2006-12-21 Sumitomo Electric Ind Ltd Traffic control system and on-vehicle device to transmit information to this system
CN1936999A (en) * 2006-10-17 2007-03-28 大连理工大学 City area-traffic cooperative control method based wireless sensor network
DE602007010415D1 (en) * 2007-02-14 2010-12-23 Hitachi Ltd Method and device for estimating the travel time of a travel route
CN101079772A (en) * 2007-04-05 2007-11-28 复旦大学 Intelligent traffic control system based on ZigBee wireless communication
CN101493992B (en) * 2008-12-19 2010-12-08 浙江工业大学 Control method for single-point self-organizing traffic signal based on wireless sensor network
CN102063796B (en) * 2010-09-26 2013-06-05 广西工学院 Intelligent traffic control system and method based on wireless Mesh ad hoc network
CN102157071A (en) * 2011-03-22 2011-08-17 芜湖伯特利汽车安全***有限公司 Intelligent traffic management system and control method based on inter-vehicle network
CN102737503B (en) * 2012-06-20 2014-10-29 东南大学 Communication connectivity analysis method for bus dynamic scheduling under internet of vehicles environment
CN102867422B (en) * 2012-09-13 2014-08-13 哈尔滨工业大学 Vehicle ad hoc network-based real-time single-point intersection signal lamp control method
US9070290B2 (en) * 2013-03-16 2015-06-30 Donald Warren Taylor Apparatus and system for monitoring and managing traffic flow
CN104240522A (en) * 2014-09-04 2014-12-24 中山大学 Self-adaptive crossroad control technology based on vehicle area network and fuzzy neural network
CN204256963U (en) * 2014-12-10 2015-04-08 辽宁省交通高等专科学校 A kind of intersection traffic signal lamp real-time control apparatus based on GPS

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9154982B2 (en) * 2009-04-02 2015-10-06 Trafficcast International, Inc. Method and system for a traffic management network
WO2015042776A1 (en) * 2013-09-24 2015-04-02 Harman International Industries, Incorporated Message broadcasting in vanet
US20160019788A1 (en) * 2014-07-16 2016-01-21 Sony Corporation Vehicle ad hoc network (vanet)

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
See also references of EP3465657A4
VAUDRINCAPUS, IMPROVING TRAFFIC LIGHTS MANAGEMENT INFORMATION SYTEMS USING AVAILABLE BY VANET PRESENTED IN GERMANY AT THE SUMO CONFERENCE, 24 May 2016 (2016-05-24)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI660331B (en) * 2018-03-22 2019-05-21 創新交通科技有限公司 Method and equipment for generating offset of traffic signal by using travel time
CN109658768A (en) * 2018-12-27 2019-04-19 交通运输部科学研究院 A kind of more people of virtual reality are the same as scene mixed traffic flow Simulation Experimental Platform

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