首页|期刊导航|交通研究通讯（英文）|Towards fair lights:A multi-agent masked deep reinforcement learning for efficient corridor-level traffic signal control
交通研究通讯（英文）2025，Vol.5Issue(3)：164-177,14.DOI:10.1016/j.commtr.2025.100203
Towards fair lights:A multi-agent masked deep reinforcement learning for efficient corridor-level traffic signal control
Towards fair lights:A multi-agent masked deep reinforcement learning for efficient corridor-level traffic signal control
摘要
关键词
Adaptive traffic signal control(ATSC)/Multi-agent/Fairness/Deep reinforcement learning(DRL)/MaskKey words
Adaptive traffic signal control(ATSC)/Multi-agent/Fairness/Deep reinforcement learning(DRL)/Mask引用本文复制引用
Xiaocai Zhang,Lok Sang Chan,Neema Nassir,Majid Sarvi..Towards fair lights:A multi-agent masked deep reinforcement learning for efficient corridor-level traffic signal control[J].交通研究通讯（英文）,2025,5(3):164-177,14.基金项目
This work was funded by ARC(Grant No.LP200301389),Kapsch TrafficCom Australia,RACQ,and iMOVE CRC,the Cooperative Research Centres program,an Australian Government initiative. （Grant No.LP200301389）
