An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review
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 dependin...
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MDPI AG
2017-08-01
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Online Access: | https://www.mdpi.com/2078-2489/8/3/101 |
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author | Peng Jing Hao Huang Long Chen |
author_facet | Peng Jing Hao Huang Long Chen |
author_sort | Peng Jing |
collection | DOAJ |
description | 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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issn | 2078-2489 |
language | English |
last_indexed | 2024-12-19T04:07:30Z |
publishDate | 2017-08-01 |
publisher | MDPI AG |
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spelling | doaj.art-ce94612f27c743f184b038130d88e1bb2022-12-21T20:36:30ZengMDPI AGInformation2078-24892017-08-018310110.3390/info8030101info8030101An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic ReviewPeng Jing0Hao Huang1Long Chen2School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaIn 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.https://www.mdpi.com/2078-2489/8/3/101traffic signal optimizationintersection controladaptive signal controlconnected vehicleVANET |
spellingShingle | Peng Jing Hao Huang Long Chen An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review Information traffic signal optimization intersection control adaptive signal control connected vehicle VANET |
title | An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review |
title_full | An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review |
title_fullStr | An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review |
title_full_unstemmed | An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review |
title_short | An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review |
title_sort | adaptive traffic signal control in a connected vehicle environment a systematic review |
topic | traffic signal optimization intersection control adaptive signal control connected vehicle VANET |
url | https://www.mdpi.com/2078-2489/8/3/101 |
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