Intersection control with connected and automated vehicles: a review

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 intersec...

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Bibliographic Details
Published inJournal of Intelligent and Connected Vehicles Vol. 5; no. 3; pp. 260 - 269
Main Authors Wu, Jiaming, Qu, Xiaobo
Format Journal Article
LanguageEnglish
Published Bingley Emerald Publishing Limited 11.10.2022
Emerald Group Publishing Limited
Tsinghua University Press
Subjects
Automation
Benchmarks
Communication
Connected and automated vehicles
Control theory
Design
Intersection control
Intersections
Optimization
Planning
Traffic control
Traffic flow
Trajectory planning
Vehicles
Connected and automated vehicles
Intersection control
Trajectory planning
Optimization
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:2399-9802
2399-9802
DOI:10.1108/JICV-06-2022-0023