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
  • [1] A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception
    Jin, Jieling
    Li, Ye
    Huang, Helai
    Dong, Yuxuan
    Liu, Pan
    ACCIDENT ANALYSIS AND PREVENTION, 2024, 201
  • [2] Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception
    Jin, Jieling
    Huang, Helai
    Li, Ye
    Dong, Yuxuan
    Zhang, Gongquan
    Chen, Jiguang
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 267
  • [3] A Novel Variable Speed Limit Control for Freeway Work Zone Based on Deep Reinforcement Learning
    Lei, Wei
    Han, Zhe
    Han, Yu
    Han, Mingmin
    CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION, 2023, : 974 - 984
  • [4] Coordinated Variable Speed Limit Control for Freeway Based on Multi-Agent Deep Reinforcement Learning
    Yu, Rongjie
    Xu, Ling
    Zhang, Ruici
    Tongji Daxue Xuebao/Journal of Tongji University, 2024, 52 (07): : 1089 - 1098
  • [5] A new reinforcement learning-based variable speed limit control approach to improve traffic efficiency against freeway jam waves
    Han, Yu
    Hegyi, Andreas
    Zhang, Le
    He, Zhengbing
    Chung, Edward
    Liu, Pan
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 144
  • [6] Reinforcement Learning-Based Variable Speed Limit Control Strategy to Reduce Traffic Congestion at Freeway Recurrent Bottlenecks
    Li, Zhibin
    Liu, Pan
    Xu, Chengcheng
    Duan, Hui
    Wang, Wei
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (11) : 3204 - 3217
  • [7] Control Approach Combining Reinforcement Learning and Model-Based Control
    Okawa, Yoshihiro
    Sasaki, Tomotake
    Iwane, Hidenao
    2019 12TH ASIAN CONTROL CONFERENCE (ASCC), 2019, : 1419 - 1424
  • [8] Reinforcement Learning Based Variable Speed Limit Control for Mixed Traffic Flows
    Vrbanic, Filip
    Ivanjko, Edouard
    Mandzuka, Sadko
    Miletic, Mladen
    2021 29TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2021, : 560 - 565
  • [9] A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties
    Mahmud, S. M. Nahid
    Hareland, Katrine
    Nivison, Scott A.
    Bell, Zachary, I
    Kamalapurkar, Rushikesh
    2021 AMERICAN CONTROL CONFERENCE (ACC), 2021, : 1979 - 1984
  • [10] Imagination-Augmented Reinforcement Learning Framework for Variable Speed Limit Control
    Li, Duo
    Lasenby, Joan
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (02) : 1384 - 1393
12345