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Multi-agent Traffic Signal Control via Distributed RL with Spatial and Temporal Feature Extraction

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Autonomous Agents and Multiagent Systems. Best and Visionary Papers (AAMAS 2022)

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Abstract

The aim of traffic signal control (TSC) is to optimize vehicle traffic in urban road networks, via the control of traffic lights at intersections.

Supported by Singapore Technologies Engineering Ltd, under work package 3 of the “Urban Traffic Flow Smoothening Models” NUS-STE joint laboratory.

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Acknowledgements

Authors would like to thank Dr. Teng Teck Hou for his feedback on earlier drafts of this manuscript as well as for research discussions during the elaboration of this work.

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Correspondence to Guillaume Sartoretti .

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Zhang, Y., Damani, M., Sartoretti, G. (2022). Multi-agent Traffic Signal Control via Distributed RL with Spatial and Temporal Feature Extraction. In: Melo, F.S., Fang, F. (eds) Autonomous Agents and Multiagent Systems. Best and Visionary Papers. AAMAS 2022. Lecture Notes in Computer Science(), vol 13441. Springer, Cham. https://doi.org/10.1007/978-3-031-20179-0_7

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  • DOI: https://doi.org/10.1007/978-3-031-20179-0_7

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