Intersection control with connected and automated vehicles:a review  被引量:8

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作  者:Jiaming Wu Xiaobo Qu 

机构地区:[1]Department of Architecture and Civil Engineering,Chalmers University of Technology,Gothenburg,Sweden [2]School of Vehicle and Mobility,Tsinghua University,Beijing,China

出  处:《Journal of Intelligent and Connected Vehicles》2022年第3期260-269,共10页智能网联汽车(英文)

摘  要:Purpose–This paper aims to review the studies on intersection control with connected and automated vehicles(CAVs).Design/methodology/approach–The most seminal and recent research in this area is reviewed.This study specifically focuses on two categories:CAV trajectory planning and joint intersection and CAV control.Findings–It is found that there is a lack of widely recognized benchmarks in this area,which hinders the validation and demonstration of new studies.Originality/value–In this review,the authors focus on the methodological approaches taken to empower intersection control with CAVs.The authors hope the present review could shed light on the state-of-the-art methods,research gaps and future research directions.

关 键 词:Connected and automated vehicles Intersection control Trajectory planning Optimization 

分 类 号:U49[交通运输工程—交通运输规划与管理]

 

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