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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

Enhancing reinforcement learning-based adaptive traffic signal control in emerging mixed traffic environments through CAV data:A simulation study considering driver behaviour

Chuanyun Fu Zhaoyou Lu Naikan Ding Zhixing Li

交通运输工程学报(英文版)2026,Vol.13Issue(4):1114-1131,18.
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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

Chuanyun Fu 1Zhaoyou Lu 2Naikan Ding 3Zhixing Li4

作者信息

  • 1. School of Transportation Science and Engineering,Harbin Institute of Technology,Harbin 150090,China||Department of Civil Engineering,University of British Columbia,Vancouver,BC V6T 1Z4,Canada
  • 2. School of Transportation Science and Engineering,Harbin Institute of Technology,Harbin 150090,China
  • 3. Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan 430063,China
  • 4. School of Vehicle and Mobility,Tsinghua University,Beijing 100084,China||Department of Computer Science and Engineering,Chalmers University of Technology,Gothenburg 41296,Sweden
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摘要

关键词

Adaptive traffic signal control/Real-time Q-learning/Driven-behaviour model/Connected and automated vehicles/Emerging mixed traffic

Key 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)

交通运输工程学报(英文版)

2095-7564

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