IALight: Importance-Aware Multi-Agent Reinforcement Learning for Arterial Traffic Cooperative Control

Multi-intersection cooperative control for arterial or network scenarios is a crucial issue in urban traffic management. Multi-agent reinforcement learning (MARL) has been recognised as an efficient solution and shows outperformed results. However, most existing MARL-based methods treat intersection...

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Hlavní autoři:	Lu WEI, Xiaoyan ZHANG, Lijun FAN, Lei GAO, Jian YANG
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	University of Zagreb, Faculty of Transport and Traffic Sciences 2025-02-01
Edice:	Promet (Zagreb)
Témata:	traffic signal control intersection importance multi-agent reinforcement learning arterial cooperative control
On-line přístup:	https://traffic2.fpz.hr/index.php/PROMTT/article/view/650
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