Cooperative Driving in Mixed Traffic: An Infrastructure-Assisted Approach

Automated driving in urban traffic requires extensive information from the surroundings. The most promisring approach to facilitate automated driving in mixed traffic is platooning of connected and automated vehicles (CAV). In this research, we investigate a human-leading strategy (HL) by which CAVs...

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Autores principales:	Rahi Avinash Shet, Shengyue Yao
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	CAV management platoon dynamics vehicular communication traffic system modeling Transportation engineering TA1001-1280 Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/a46f5941232d4b03a3663f3f833e7791
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id	oai:doaj.org-article:a46f5941232d4b03a3663f3f833e7791
record_format	dspace
spelling	oai:doaj.org-article:a46f5941232d4b03a3663f3f833e77912021-11-24T00:04:17ZCooperative Driving in Mixed Traffic: An Infrastructure-Assisted Approach2687-781310.1109/OJITS.2021.3125740https://doaj.org/article/a46f5941232d4b03a3663f3f833e77912021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9606200/https://doaj.org/toc/2687-7813Automated driving in urban traffic requires extensive information from the surroundings. The most promisring approach to facilitate automated driving in mixed traffic is platooning of connected and automated vehicles (CAV). In this research, we investigate a human-leading strategy (HL) by which CAVs drive in platoons with the CAV leading the platoon driven by a human. We thoroughly formulate the problem of managing CAV platoons by the HL strategy, systematically model the platoon dynamics and the traffic system, as well as propose two approaches to implement this strategy. By conducting experiments in a simulation framework that combines the traffic and the communication network, the implementation of the HL strategy is evaluated with the consideration of travel time, automated driving experience, and communication reliability. The simulation results revealed that the HL strategy makes it feasible for CAVs to drive in automated mode in an urban mixed traffic network, while its performance relies on the CAV penetration rate and communication reliability. In addition, the results suggest that the performance of the HL strategy can be significantly improved by approaches that allow uninterrupted platooning and result in stable platoon dynamics.Rahi Avinash ShetShengyue YaoIEEEarticleCAV managementplatoon dynamicsvehicular communicationtraffic system modelingTransportation engineeringTA1001-1280Transportation and communicationsHE1-9990ENIEEE Open Journal of Intelligent Transportation Systems, Vol 2, Pp 429-447 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	CAV management platoon dynamics vehicular communication traffic system modeling Transportation engineering TA1001-1280 Transportation and communications HE1-9990
spellingShingle	CAV management platoon dynamics vehicular communication traffic system modeling Transportation engineering TA1001-1280 Transportation and communications HE1-9990 Rahi Avinash Shet Shengyue Yao Cooperative Driving in Mixed Traffic: An Infrastructure-Assisted Approach
description	Automated driving in urban traffic requires extensive information from the surroundings. The most promisring approach to facilitate automated driving in mixed traffic is platooning of connected and automated vehicles (CAV). In this research, we investigate a human-leading strategy (HL) by which CAVs drive in platoons with the CAV leading the platoon driven by a human. We thoroughly formulate the problem of managing CAV platoons by the HL strategy, systematically model the platoon dynamics and the traffic system, as well as propose two approaches to implement this strategy. By conducting experiments in a simulation framework that combines the traffic and the communication network, the implementation of the HL strategy is evaluated with the consideration of travel time, automated driving experience, and communication reliability. The simulation results revealed that the HL strategy makes it feasible for CAVs to drive in automated mode in an urban mixed traffic network, while its performance relies on the CAV penetration rate and communication reliability. In addition, the results suggest that the performance of the HL strategy can be significantly improved by approaches that allow uninterrupted platooning and result in stable platoon dynamics.
format	article
author	Rahi Avinash Shet Shengyue Yao
author_facet	Rahi Avinash Shet Shengyue Yao
author_sort	Rahi Avinash Shet
title	Cooperative Driving in Mixed Traffic: An Infrastructure-Assisted Approach
title_short	Cooperative Driving in Mixed Traffic: An Infrastructure-Assisted Approach
title_full	Cooperative Driving in Mixed Traffic: An Infrastructure-Assisted Approach
title_fullStr	Cooperative Driving in Mixed Traffic: An Infrastructure-Assisted Approach
title_full_unstemmed	Cooperative Driving in Mixed Traffic: An Infrastructure-Assisted Approach
title_sort	cooperative driving in mixed traffic: an infrastructure-assisted approach
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/a46f5941232d4b03a3663f3f833e7791
work_keys_str_mv	AT rahiavinashshet cooperativedrivinginmixedtrafficaninfrastructureassistedapproach AT shengyueyao cooperativedrivinginmixedtrafficaninfrastructureassistedapproach
_version_	1718416112742301696

Cooperative Driving in Mixed Traffic: An Infrastructure-Assisted Approach

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