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A survey on reinforcement learning-based control for signalized intersections with connected automated vehicles.
- Source :
-
Transport Reviews . Jul2024, p1-22. 22p. 2 Illustrations. - Publication Year :
- 2024
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01441647
- Database :
- Academic Search Index
- Journal :
- Transport Reviews
- Publication Type :
- Academic Journal
- Accession number :
- 178475389
- Full Text :
- https://doi.org/10.1080/01441647.2024.2377637