A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception

被引：0
|
作者：
Jin, Jieling [1 ]
Li, Ye [1 ]
Huang, Helai [1 ]
Dong, Yuxuan [1 ]
Liu, Pan [2 ]
机构：
[1] School of Traffic and Transportation Engineering, Central South University, Changsha,410075, China
[2] Department of Civil and Environmental Engineering, National University of Singapore, Engineering Drive 2, Singapore,117576, Singapore
来源：
Accident Analysis and Prevention | 2024年 / 201卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning
    Ke, Zemian
    Li, Zhibin
    Cao, Zehong
    Liu, Pan
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (07) : 4684 - 4695
  • [22] Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration
    Loris Roveda
    Jeyhoon Maskani
    Paolo Franceschi
    Arash Abdi
    Francesco Braghin
    Lorenzo Molinari Tosatti
    Nicola Pedrocchi
    Journal of Intelligent & Robotic Systems, 2020, 100 : 417 - 433
  • [23] An Optimal Variable Speed Limit Control Approach Against Freeway Jam Waves
    Han Y.
    Guo Y.-Y.
    Zhang L.
    Liu P.
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2022, 35 (01): : 151 - 158
  • [24] Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration
    Roveda, Loris
    Maskani, Jeyhoon
    Franceschi, Paolo
    Abdi, Arash
    Braghin, Francesco
    Tosatti, Lorenzo Molinari
    Pedrocchi, Nicola
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 100 (02) : 417 - 433
  • [25] An Efficient Approach to Model-Based Hierarchical Reinforcement Learning
    Li, Zhuoru
    Narayan, Akshay
    Leong, Tze-Yun
    THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 3583 - 3589
  • [26] A Model-based Factored Bayesian Reinforcement Learning Approach
    Wu, Bo
    Feng, Yanpeng
    Zheng, Hongyan
    APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 1092 - 1095
  • [27] A Model-Based Reinforcement Learning Approach to Time-Optimal Control Problems
    Liao, Hsuan-Cheng
    Liu, Jing-Sin
    ADVANCES AND TRENDS IN ARTIFICIAL INTELLIGENCE: FROM THEORY TO PRACTICE, 2019, 11606 : 657 - 665
  • [28] Variable Speed Limit Control for Mixed Traffic Flow on Highways Based on Deep-Reinforcement Learning
    Gao, Heyao
    Jia, Hongfei
    Wu, Ruiyi
    Huang, Qiuyang
    Tian, Jingjing
    Liu, Chao
    Wang, Xiaochao
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2024, 150 (03)
  • [29] Efficient reinforcement learning: Model-based acrobot control
    Boone, G
    1997 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION - PROCEEDINGS, VOLS 1-4, 1997, : 229 - 234
  • [30] Multiple model-based reinforcement learning for nonlinear control
    Samejima, K
    Katagiri, K
    Doya, K
    Kawato, M
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2006, 89 (09): : 54 - 69
12345