您当前的位置：
首页 >
文章列表页 >
Modeling interaction policy of autonomous vehicle and pedestrian based on deep reinforcement learning
更新时间：2026-02-03

    • Modeling interaction policy of autonomous vehicle and pedestrian based on deep reinforcement learning

    • “The research progress in the field of autonomous driving was introduced, and experts established a human vehicle interaction model to provide a solution to the interaction problem between autonomous vehicles and pedestrians.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 10, Pages: 3180-3188(2025)
    • 作者机构：

      1.北京工业大学 城市建设学部，北京 100124

      2.公安部道路交通安全研究中心，北京 100062

      3.中国人民公安大学 交通管理学院，北京100091

    • DOI：10.13229/j.cnki.jdxbgxb.20240017    

      CLC： U491

    • Received：03 January 2024，

      Published：01 October 2025

    移动端阅览

  • HU Wei-chao,YANG Zhen-ming,YU Peng-cheng,et al.Modeling interaction policy of autonomous vehicle and pedestrian based on deep reinforcement learning[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(10):3180-3188. DOI： 10.13229/j.cnki.jdxbgxb.20240017.

  •  
  •  

0

Views

7

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Merging guidance of exclusive lanes for connected and autonomous vehicles based on deep reinforcement learning
Deep deterministic policy gradient caching method for privacy protection in Internet of Vehicles
Review of active safety verification and validation for autonomous vehicles in real and virtual scenarios
Deep reinforcement learning optimization scheduling algorithm for continuous production line
LSTM⁃MADDPG multi⁃agent cooperative decision algorithm based on asynchronous collaborative update

Related Author

LEI Yan-hong
JI Ya-ping
ZHANG Jian
JIANG Xia
LI Dan
LI Qing-yang
LIU Kun
SHEN Zi-hao

Related Institution

School of Transportation， Southeast University
Institute of Technology， Tibet University
Jiangsu Key Laboratory of Urban ITS， Southeast University
School of Software， Henan Polytechnic University
School of Computer Science and Technology， Henan Polytechnic University
0