A survey on reinforcement learning-based control for signalized intersections with connected automated vehicles

Kaiwen Zhang, Zhiyong Cui and Wanjing Ma

Transport Reviews, 2024, vol. 44, issue 6, 1187-1208

Abstract: Recent advancements in connected automated vehicles (CAVs) and reinforcement learning (RL) hold significant promise for enhancing intelligent traffic control systems. This paper conducts a systematic review of studies on RL-based urban traffic control at signalised intersections, highlighting the significant impact of CAVs on traffic control performance improvement. We first review the fundamental concepts of RL algorithms, establishing a foundational understanding for subsequent RL-based traffic control methods. We then review recent progress in RL-based traffic signal control using CV/CAV trajectory data, RL-based CAV trajectory planning, and the cooperative control of both traffic signals and CAVs at signalised intersections. Our aim is to provide researchers with a comprehensive roadmap for future research in RL-based traffic control at signalised intersections.

Date: 2024
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DOI: 10.1080/01441647.2024.2377637

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