首页|期刊导航|交通运输工程学报(英文版)|Enhancing reinforcement learning-based adaptive traffic signal control in emerging mixed traffic environments through CAV data:A simulation study considering driver behaviour
交通运输工程学报(英文版)2026,Vol.13Issue(4):1114-1131,18.DOI:10.1016/j.jtte.2024.07.002
Enhancing reinforcement learning-based adaptive traffic signal control in emerging mixed traffic environments through CAV data:A simulation study considering driver behaviour
Enhancing reinforcement learning-based adaptive traffic signal control in emerging mixed traffic environments through CAV data:A simulation study considering driver behaviour
摘要
关键词
Adaptive traffic signal control/Real-time Q-learning/Driven-behaviour model/Connected and automated vehicles/Emerging mixed trafficKey words
Adaptive traffic signal control/Real-time Q-learning/Driven-behaviour model/Connected and automated vehicles/Emerging mixed traffic引用本文复制引用
Chuanyun Fu,Zhaoyou Lu,Naikan Ding,Zhixing Li..Enhancing reinforcement learning-based adaptive traffic signal control in emerging mixed traffic environments through CAV data:A simulation study considering driver behaviour[J].交通运输工程学报(英文版),2026,13(4):1114-1131,18.基金项目
The work was jointly supported by the National Natural Sci-ence Foundation of China(72371082),the Natural Science Foundation of Sichuan Province of China(2024NSFSC0184),the Opening Project of Intelligent Policing Key Laboratory of Sichuan Province,China(ZNJW2023KFZD001),the Funda-mental Research Funds for the Central Universities(FRFCUAUGA5710010222,WUT:233144001),and Toyota Motor Technical Research and Service(Shanghai)Co.,Ltd. (72371082)