Real‐time predictive coordination based on vehicle‐triggered platoon dispersion in a low penetration connected vehicle environment

Abstract The connected vehicle (CV) technology can benefit signal coordination with fine‐grained spatial and temporal vehicle and infrastructure data via real‐time communication. Although CV‐based signal coordination systems have been investigated from offline and online strategic perspectives, exis...

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Autores principales:	Jiangchen Li, Liqun Peng, Tony Z. Qiu
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Transportation engineering TA1001-1280 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/ab47a6730daa4e66b068e737f57d592c
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spelling	oai:doaj.org-article:ab47a6730daa4e66b068e737f57d592c2021-11-11T10:16:46ZReal‐time predictive coordination based on vehicle‐triggered platoon dispersion in a low penetration connected vehicle environment1751-95781751-956X10.1049/itr2.12121https://doaj.org/article/ab47a6730daa4e66b068e737f57d592c2021-12-01T00:00:00Zhttps://doi.org/10.1049/itr2.12121https://doaj.org/toc/1751-956Xhttps://doaj.org/toc/1751-9578Abstract The connected vehicle (CV) technology can benefit signal coordination with fine‐grained spatial and temporal vehicle and infrastructure data via real‐time communication. Although CV‐based signal coordination systems have been investigated from offline and online strategic perspectives, existing works have yet to address certain coordination performance issues, including the dynamic platoon dispersion effect and low penetration impact. Targeting at resolving these issues, this work proposes a real‐time predictive coordination method consisting of a probabilistic single‐vehicle‐based dynamic platoon dispersion model, an extended link performance function, and a real‐time model predictive control (MPC)‐based coordination framework. The proposed coordination method was comprehensively investigated by a software‐in‐loop simulation platform with different practical corridor scenarios in the ACTIVE CV testbed in Canada. Results show the proposed coordination control continuously outperformed existing signal control with lower delays for major streets with different demand profiles and different CV penetration rates, even in low penetration conditions. In conclusion, the proposed CV MPC‐based coordination can offer significant potential to further improve the system performance of signal coordination in a low penetration environment; therefore, it has the potential to enhance other CV‐based signal control applications in the initial deployment stage of CV technology.Jiangchen LiLiqun PengTony Z. QiuWileyarticleTransportation engineeringTA1001-1280Electronic computers. Computer scienceQA75.5-76.95ENIET Intelligent Transport Systems, Vol 15, Iss 12, Pp 1548-1561 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Transportation engineering TA1001-1280 Electronic computers. Computer science QA75.5-76.95
spellingShingle	Transportation engineering TA1001-1280 Electronic computers. Computer science QA75.5-76.95 Jiangchen Li Liqun Peng Tony Z. Qiu Real‐time predictive coordination based on vehicle‐triggered platoon dispersion in a low penetration connected vehicle environment
description	Abstract The connected vehicle (CV) technology can benefit signal coordination with fine‐grained spatial and temporal vehicle and infrastructure data via real‐time communication. Although CV‐based signal coordination systems have been investigated from offline and online strategic perspectives, existing works have yet to address certain coordination performance issues, including the dynamic platoon dispersion effect and low penetration impact. Targeting at resolving these issues, this work proposes a real‐time predictive coordination method consisting of a probabilistic single‐vehicle‐based dynamic platoon dispersion model, an extended link performance function, and a real‐time model predictive control (MPC)‐based coordination framework. The proposed coordination method was comprehensively investigated by a software‐in‐loop simulation platform with different practical corridor scenarios in the ACTIVE CV testbed in Canada. Results show the proposed coordination control continuously outperformed existing signal control with lower delays for major streets with different demand profiles and different CV penetration rates, even in low penetration conditions. In conclusion, the proposed CV MPC‐based coordination can offer significant potential to further improve the system performance of signal coordination in a low penetration environment; therefore, it has the potential to enhance other CV‐based signal control applications in the initial deployment stage of CV technology.
format	article
author	Jiangchen Li Liqun Peng Tony Z. Qiu
author_facet	Jiangchen Li Liqun Peng Tony Z. Qiu
author_sort	Jiangchen Li
title	Real‐time predictive coordination based on vehicle‐triggered platoon dispersion in a low penetration connected vehicle environment
title_short	Real‐time predictive coordination based on vehicle‐triggered platoon dispersion in a low penetration connected vehicle environment
title_full	Real‐time predictive coordination based on vehicle‐triggered platoon dispersion in a low penetration connected vehicle environment
title_fullStr	Real‐time predictive coordination based on vehicle‐triggered platoon dispersion in a low penetration connected vehicle environment
title_full_unstemmed	Real‐time predictive coordination based on vehicle‐triggered platoon dispersion in a low penetration connected vehicle environment
title_sort	real‐time predictive coordination based on vehicle‐triggered platoon dispersion in a low penetration connected vehicle environment
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/ab47a6730daa4e66b068e737f57d592c
work_keys_str_mv	AT jiangchenli realtimepredictivecoordinationbasedonvehicletriggeredplatoondispersioninalowpenetrationconnectedvehicleenvironment AT liqunpeng realtimepredictivecoordinationbasedonvehicletriggeredplatoondispersioninalowpenetrationconnectedvehicleenvironment AT tonyzqiu realtimepredictivecoordinationbasedonvehicletriggeredplatoondispersioninalowpenetrationconnectedvehicleenvironment
_version_	1718439245661601792

Real‐time predictive coordination based on vehicle‐triggered platoon dispersion in a low penetration connected vehicle environment

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