Adaptive Traffic Signal Control Based on Vehicle Route Sharing by Wireless Communication

Ezawa, Hiroyasu; Mukai, Naoto

doi:10.1007/978-3-642-15384-6_30

Cited by 13 publications

(4 citation statements)

References 4 publications

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“…Control theory and game theory have also been applied to design traffic signal control algorithms [7][8][9][10][11][12] which are more reactive to real-time traffic and have stability guarantees. However, all of these approaches are centralized.…”

Section: List Of Figuresmentioning

confidence: 99%

Back-Pressure Based Adaptive Traffic Signal Control and Vehicle Routing with Real-Time Control Information Update

Liu

Gao

Ito

2018

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)

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Back-pressure algorithm has been shown to be effective in reducing traffic congestion. However, available works on back-pressure based traffic control usually ignore the fact that vehicles need time to travel across roads, resulting in inconsistency between controllers' viewpoint of traffic congestion situation and real traffic situation and thus misleading controllers. In this paper, we propose back-pressure based adaptive traffic signal control and vehicle routing with real-time control information update such that controllers always have consistent viewpoint of traffic congestion with real traffic situation and make wise signal control and vehicle routing decisions. As verified by simulations, our algorithm significantly reduces traffic congestion. For example, it reduces average vehicle traveling time by percentage ranging from 67% to 83% under high vehicle arrival rates when compared to other three algorithms.

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Section: List Of Figuresmentioning

confidence: 99%

Back-Pressure Based Adaptive Traffic Signal Control and Vehicle Routing with Real-Time Control Information Update

Liu

Gao

Ito

2018

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)

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“…Ezawa et al [49] proposed an adaptive traffic signal control based on vehicle route sharing. The vehicle route sharing was to share position and path information, and the route sharing information was used for calculating expected traffic congestion.…”

Section: Control Strategies For Multiple Intersectionsmentioning

confidence: 99%

An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review

2017

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Abstract:In the last few years, traffic congestion has become a growing concern due to increasing vehicle ownerships in urban areas. Intersections are one of the major bottlenecks that contribute to urban traffic congestion. Traditional traffic signal control systems cannot adjust the timing pattern depending on road traffic demand. This results in excessive delays for road users. Adaptive traffic signal control in a connected vehicle environment has shown a powerful ability to effectively alleviate urban traffic congestions to achieve desirable objectives (e.g., delay minimization). Connected vehicle technology, as an emerging technology, is a mobile data platform that enables the real-time data exchange among vehicles and between vehicles and infrastructure. Although several reviews about traffic signal control or connected vehicles have been written, a systemic review of adaptive traffic signal control in a connected vehicle environment has not been made. Twenty-six eligible studies searched from six databases constitute the review. A quality evaluation was established based on previous research instruments and applied to the current review. The purpose of this paper is to critically review the existing methods of adaptive traffic signal control in a connected vehicle environment and to compare the advantages or disadvantages of those methods. Further, a systematic framework on connected vehicle based adaptive traffic signal control is summarized to support the future research. Future research is needed to develop more efficient and generic adaptive traffic signal control methods in a connected vehicle environment.

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“…While the majority of above papers optimize traffic performance, the agent-based models can be also used for optimizing multi-intersection signal control. Ezawa et al [7] proposed an adaptive traffic signal control based on vehicle route sharing. It lies in sharing the position and path information, and the route sharing information was used for calculating expected traffic congestion.…”

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confidence: 99%

Simulation of Autonomous Mobility of Connected Vehicles in the Context of Real Conditions – a Case Study

Hanzl

Gross

Bartuška

et al. 2021

LOGI – Scientific Journal on Transport and Logistics

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By designing road infrastructure, it is necessary to adapt the real situation to current development trends and respond accordingly to the intensity of traffic on the transport network. The development of the traffic situation is generally very dynamic, difficult to predict and influenced by a number of other factors. Modern technologies enable adaptive traffic flow management based on the sharing and evaluation of traffic information obtained in real time from traffic monitoring systems or even from vehicles as such (e.g. thanks to “Connected Vehicles” technology). The article first carries out a literature review of professional literature and scientific articles dealing with the issue of autonomous mobility and autonomous management of transport processes. That is followed by a description and creation of own algorithm for autonomous control of vehicles at the level crossing, including description of used data, methods and proposed solutions. Finally, the developed method (algorithm) is tested by the Anylogic simulation program in a real environment, as a case study of autonomous vehicle decision-making at the level crossing.

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Adaptive Traffic Signal Control Based on Vehicle Route Sharing by Wireless Communication

Cited by 13 publications

References 4 publications

Back-Pressure Based Adaptive Traffic Signal Control and Vehicle Routing with Real-Time Control Information Update

Back-Pressure Based Adaptive Traffic Signal Control and Vehicle Routing with Real-Time Control Information Update

An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review

Simulation of Autonomous Mobility of Connected Vehicles in the Context of Real Conditions – a Case Study

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