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Ego-efficient lane changes of connected and automated vehicles with impacts on traffic flow

文献类型：期刊论文

作者Wang, Yibing7; Wang, Long7; Guo, Jingqiu6; Papamichail, Ioannis5; Papageorgiou, Markos5; Wang, Fei-Yue4; Bertini, Robert3; Hua, Wei2; Yang, Qinmin1
刊名TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
出版日期2022-05-01
卷号138页码:25
关键词Ego-efficient Lane Changes Traffic Flow Impacts Microscopic Simulation Reinforcement Learning
ISSN号0968-090X
DOI10.1016/j.trc.2021.103478
通讯作者Wang, Yibing(wangyibing@zju.edu.cn) ; Guo, Jingqiu(guojingqiu@hotmail.com)
英文摘要Connected and automated vehicles (CAVs) enabled by wireless communication and vehicle automation are believed to revolutionize the form and operation of road transport in the next decades. This paper addresses traffic flow effects of CAVs, and focuses on their lane-changing impacts on the mixed traffic flow of CAVs and human-driven vehicles (HVs). At present technical paths towards the development and deployment of CAVs are still uncertain. With CAV technologies getting matured, CAVs are supposed to provide rides of higher efficiency than HVs, beyond improved safety and comfort. In heavy traffic, this would only be achievable via agile and flexible lane changes of CAVs, because longitudinal acceleration would be unhelpful or even impossible. Such lane changes are expected to be ego-efficient in that they serve solely CAVs' interests without much considering surrounding vehicles, as long as safety constraints are not violated. As road resources are limited, the growth of the CAV population adopting such ego efficient lane-changing strategies would probably lead to renowned "Tragedy of the Commons". In this context, this paper considers three important prospective questions: A: How to determine an ego-efficient lane-changing strategy for CAVs? B: With more CAVs introduced each adopting the ego-efficient lane-changing strategy, what is the impact on traffic flow? C: How to determine a system-efficient lane-changing strategy for CAVs? These forward-looking issues are addressed from the perspectives of microscopic traffic simulation and reinforcement learning. Without any constraint on the lane-changing incentive, the developed lane-changing strategy was found to be beneficial for CAVs and the entire traffic flow only if the market penetration rate (MPR) of CAVs is less than 50%. With an appropriate constraint placed, however, the lane-changing strategy was found to become consistently beneficial for the entire traffic flow at any MPR. These findings suggest that CAVs may not simply be a magic cure for traffic problems that the society is currently facing, unless some upper-level coordination may be proposed for CAVs to benefit not only themselves but also the entire traffic. This is also consistent with what "Tragedy of the Commons" suggests.
WOS关键词ADAPTIVE CRUISE CONTROL ; MODEL-PREDICTIVE CONTROL ; DECISION-MAKING ; SYSTEMS
资助项目National Key Research and Development Program of China[2018YFB1600500] ; National Key Research and Development Program of China[2017YFE9134700] ; National Natural Science Foundation of China[71771200] ; National Natural Science Foundation of China[52172306] ; Provincial Key R&D Program of Zhejiang[2021C01012]
WOS研究方向Transportation
语种英语
WOS记录号WOS:000792881700001
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Provincial Key R&D Program of Zhejiang
源URL[http://ir.ia.ac.cn/handle/173211/49386]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Wang, Yibing; Guo, Jingqiu
作者单位1.Zhejiang Univ, Coll Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Peoples R China
2.Zhejiang Lab, Res Ctr Smart Transportat, Hangzhou 311121, Peoples R China
3.Oregon State Univ, Sch Civil & Construct Engn, Corvallis, OR 97331 USA
4.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
5.Tech Univ Crete, Sch Prod Engn & Management, Dynam Syst & Simulat Lab, Khania, Greece
6.Tongji Univ, Minist Educ China, Key Lab Rd & Traff Engn, Shanghai 201804, Peoples R China
7.Zhejiang Univ, Inst Intelligent Transportat Syst, Hangzhou 310058, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Yibing,Wang, Long,Guo, Jingqiu,et al. Ego-efficient lane changes of connected and automated vehicles with impacts on traffic flow[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,2022,138:25.
APA Wang, Yibing.,Wang, Long.,Guo, Jingqiu.,Papamichail, Ioannis.,Papageorgiou, Markos.,...&Yang, Qinmin.(2022).Ego-efficient lane changes of connected and automated vehicles with impacts on traffic flow.TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,138,25.
MLA Wang, Yibing,et al."Ego-efficient lane changes of connected and automated vehicles with impacts on traffic flow".TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES 138(2022):25.

入库方式： OAI收割

来源：自动化研究所

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