中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control

文献类型:期刊论文

作者Yisha Li; Ya Zhang; Xinde Li; Changyin Sun
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2024
卷号11期号:9页码:1987-1998
关键词Human-machine cooperation mixed domain attention mechanism multi-agent reinforcement learning spatio-temporal feature traffic signal control
ISSN号2329-9266
DOI10.1109/JAS.2024.124365
英文摘要This article studies the effective traffic signal control problem of multiple intersections in a city-level traffic system. A novel regional multi-agent cooperative reinforcement learning algorithm called RegionSTLight is proposed to improve the traffic efficiency. Firstly a regional multi-agent Q-learning framework is proposed, which can equivalently decompose the global Q value of the traffic system into the local values of several regions. Based on the framework and the idea of human-machine cooperation, a dynamic zoning method is designed to divide the traffic network into several strong-coupled regions according to real-time traffic flow densities. In order to achieve better cooperation inside each region, a lightweight spatio-temporal fusion feature extraction network is designed. The experiments in synthetic, real-world and city-level scenarios show that the proposed RegionSTLight converges more quickly, is more stable, and obtains better asymptotic performance compared to state-of-the-art models.
源URL[http://ir.ia.ac.cn/handle/173211/58811]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Yisha Li,Ya Zhang,Xinde Li,et al. Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(9):1987-1998.
APA Yisha Li,Ya Zhang,Xinde Li,&Changyin Sun.(2024).Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control.IEEE/CAA Journal of Automatica Sinica,11(9),1987-1998.
MLA Yisha Li,et al."Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control".IEEE/CAA Journal of Automatica Sinica 11.9(2024):1987-1998.

入库方式: OAI收割

来源:自动化研究所

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