Hierarchical reinforcement learning-based traffic signal control

Abstract Efficient traffic light control is a critical issue in urban transportation systems. Recently, deep reinforcement learning (DRL) has gained popularity as a method for real-time traffic light control. However, state-of-the-art DRL-based systems typically construct individual RL agents for ea...

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Auteur principal:	Jiajing Shen
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-09-01
Collection:	Scientific Reports
Sujets:	Intelligent traffic signal control Hierarchical deep reinforcement learning Multi-agent reinforcement learning
Accès en ligne:	https://doi.org/10.1038/s41598-025-18449-1
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