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Literature review | Open Access

Intersection control with connected and automated vehicles: a review

Jiaming Wu1( )Xiaobo Qu2
Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, Sweden
School of Vehicle and Mobility, Tsinghua University, Beijing, China
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Abstract

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.

References

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Journal of Intelligent and Connected Vehicles
Pages 260-269

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Cite this article:
Wu J, Qu X. Intersection control with connected and automated vehicles: a review. Journal of Intelligent and Connected Vehicles, 2022, 5(3): 260-269. https://doi.org/10.1108/JICV-06-2022-0023

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Received: 25 June 2022
Revised: 03 July 2022
Accepted: 03 July 2022
Published: 29 July 2022
© 2022 Jiaming Wu and Xiaobo Qu. Published in Journal of Intelligent and Connected Vehicles. Published by Emerald Publishing Limited.

This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence maybe seen at http://creativecommons.org/licences/by/4.0/legalcode