Driver Car-Following Model Based on Deep Reinforcement Learning

被引：0
|
作者：
Guo, Jinghua [1 ]
Li, Wenchang [1 ,4 ]
Luo, Yugong [2 ]
Chen, Tao [3 ]
Li, Keqiang [2 ]
机构：
[1] School of Aerospace Engineering, Xiamen University, Xiamen,361005, China
[2] School of Vehicle and Mobility, Tsinghua University, Beijing,100084, China
[3] China Automotive Engineering Research Institute Co., Ltd., Chongqing,401122, China
[4] School of Automotive Studies, Tongji University, Shanghai,201804, China
来源：
Qiche Gongcheng/Automotive Engineering | 2021年 / 43卷 / 04期
关键词：
Compendex;
D O I：
10.19562/j.chinasae.qcgc.2021.04.015
中图分类号：
学科分类号：
摘要：
Learning systems - Behavioral research - Decision making - Deep learning - Vehicle performance
引用
收藏
页码：571 / 579
相关论文
共 50 条
  • [1] Dynamic Car-following Model Calibration with Deep Reinforcement Learning
    Naing, Htet
    Cai, Wentong
    Wu, Tiantian
    Yu, Liang
    [J]. 2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 959 - 966
  • [2] Towards robust car-following based on deep reinforcement learning
    Hart, Fabian
    Okhrin, Ostap
    Treiber, Martin
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 159
  • [3] A Car-following Control Algorithm Based on Deep Reinforcement Learning
    Zhu, Bing
    Jiang, Yuan-De
    Zhao, Jian
    Chen, Hong
    Deng, Wei-Wen
    [J]. Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2019, 32 (06): : 53 - 60
  • [4] Human-like autonomous car-following model with deep reinforcement learning
    Zhu, Meixin
    Wang, Xuesong
    Wang, Yinhai
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 97 : 348 - 368
  • [5] Deep Reinforcement Learning Car-Following Model Considering Longitudinal and Lateral Control
    Qin, Pinpin
    Tan, Hongyun
    Li, Hao
    Wen, Xuguang
    [J]. SUSTAINABILITY, 2022, 14 (24)
  • [6] Car-Following Model Based on Deep Learning and Markov Theory
    Tang, Tie-Qiao
    Gui, Yong
    Zhang, Jian
    Wang, Tao
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2020, 146 (09)
  • [7] Deep Reinforcement Learning Car-Following Control Based on Multivehicle Motion Prediction
    Wang, Tao
    Qu, Dayi
    Wang, Kedong
    Dai, Shouchen
    [J]. ELECTRONICS, 2024, 13 (06)
  • [8] Proactive Car-Following Using Deep-Reinforcement Learning
    Yen, Yi-Tung
    Chou, Jyun-Jhe
    Shih, Chi-Sheng
    Chen, Chih-Wei
    Tsung, Pei-Kuei
    [J]. 2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2020,
  • [9] Improved deep reinforcement learning for car-following decision-making
    Yang, Xiaoxue
    Zou, Yajie
    Zhang, Hao
    Qu, Xiaobo
    Chen, Lei
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 624
  • [10] Car-Following Model of ULVs using a Deep Learning Model
    Inokuchi, Hiroaki
    Akiyama, Takamasa
    [J]. 2022 JOINT 12TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS AND 23RD INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (SCIS&ISIS), 2022,
12345