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Research paper | Open Access

Traffic signal coordination control for arterials with dedicated CAV lanes

Liang Xu1Sheng Jin2,3( )Bolin Li2,3Jiaming Wu4
Department of Beihang Hangzhou Innovation Institute Yuhang, Hangzhou, China
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China
Department of Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Hangzhou, China
Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, Sweden
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Abstract

Purpose

This study aims to make full use of the advantages of connected and autonomous vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without stopping.

Design/methodology/approach

The authors developed a signal coordination model for arteries with dedicated CAV lanes by using mixed integer linear programming. CAV non-stop constraints are proposed to adapt to the characteristics of CAVs. As it is a continuous problem, various situations that CAVs arrive at intersections are analyzed. The rules are discovered to simplify the problem by discretization method.

Findings

A case study is conducted via SUMO traffic simulation program. The results show that the efficiency of CAVs can be improved significantly both in high-volume scenario and medium-volume scenario with the plan optimized by the model proposed in this paper. At the same time, the progression efficiency of regular vehicles is not affected significantly. It is indicated that full-scale benefits of dedicated CAV lanes can only be achieved with signal coordination plans considering CAV characteristics.

Originality/value

To the best of the authors’ knowledge, this is the first research that develops a signal coordination model for arteries with dedicated CAV lanes.

References

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Journal of Intelligent and Connected Vehicles
Pages 72-87

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Cite this article:
Xu L, Jin S, Li B, et al. Traffic signal coordination control for arterials with dedicated CAV lanes. Journal of Intelligent and Connected Vehicles, 2022, 5(2): 72-87. https://doi.org/10.1108/JICV-08-2021-0015

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Received: 31 August 2021
Revised: 11 February 2022
Accepted: 22 February 2022
Published: 16 March 2022
© 2022 Liang Xu, Sheng Jin, Bolin Li and Jiaming Wu. 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