Optimizing Urban Traffic Flow: From Traditional TSC to Multi-Agent Reinforcement Learning

Ding, Zihua and Hou, Yanbin and Zhang, Yunfan (2025) Optimizing Urban Traffic Flow: From Traditional TSC to Multi-Agent Reinforcement Learning. In: Proceedings of the 2nd International Conference on Machine Learning and Automation, CONF-MLA 2024, November 21, 2024, Adana, Turkey.

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Abstract

Traffic congestion in emerging megacities is exacerbated by rapid population growth and urbanization. Traditional Traffic Signal Control (TSC) methods struggle with dynamic and unpredictable conditions, facing computational and storage challenges. This paper explores modern TSC methods using advance

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 18:27
Last Modified: 16 Apr 2026 21:39
URI: http://eprints.eai.eu/id/eprint/52532

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