Automated Driving Control of Vehicles with Guidances

被引:0
|
作者
Sheng, Encong [1 ]
Yu, Shuyou [1 ]
Chang, Huan [1 ]
Zhang, Yajing [1 ]
Li, Yongfu [2 ]
Hao, Yi [3 ]
机构
[1] Jilin Univ, Dept Control Sci & Engn, Changchun 130022, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Dept Automat, Chongqing 400065, Peoples R China
[3] Dongfeng Motor Corp, Dongfeng Commercial Vehicle Technol Ctr, Wuhan 442001, Peoples R China
来源
2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2022年
基金
中国国家自然科学基金;
关键词
DYNAMIC-MODE DECOMPOSITION;
D O I
10.1109/ITSC55140.2022.9921780
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Automated driving control of vehicles is considered, where both longitudinal and lateral dynamics are taken into account. Firstly, the vehicle dynamics are approximated by a global linear model obtained by Koopman operator theory. Then, a linear model predictive controller is designed, in which the global linear model is used to predict vehicle dynamics. Thus, it can reduce the computational burden accordingly. The state of the preceding vehicle is used as the reference of the following vehicle to complete the automated driving control. Finally, the efficacy of the proposed strategy is confirmed through simulation.
引用
收藏
页码:1817 / 1822
页数:6
相关论文
共 50 条
  • [41] Integration Analysis of a Transmission Unit for Automated Driving Vehicles
    Macher, Georg
    Veledar, Omar
    Bachinger, Markus
    Kager, Andreas
    Stolz, Michael
    Kreiner, Christian
    COMPUTER SAFETY, RELIABILITY, AND SECURITY, SAFECOMP 2018, 2018, 11094 : 290 - 301
  • [42] Highly Automated Vehicles and Self-Driving Cars
    Takacs, Arpad
    Rudas, Imre
    Boesl, Dominik
    Haidegger, Tamas
    IEEE ROBOTICS & AUTOMATION MAGAZINE, 2018, 25 (04) : 106 - 112
  • [43] Influence of Driving Experience on Distraction Engagement in Automated Vehicles
    He, Dengbo
    Donmez, Birsen
    TRANSPORTATION RESEARCH RECORD, 2019, 2673 (09) : 142 - 151
  • [44] The Challenges of Driving Mode Switching in Automated Vehicles: A Review
    Hu, Lin
    Cai, Hai
    Huang, Jing
    Cao, Dongpu
    Zhang, Xin
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (02) : 1777 - 1791
  • [45] Active Safety Vehicles Evolving Toward Automated Driving
    Uhlemann, Elisabeth
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2015, 10 (04): : 20 - 23
  • [46] Garbage Collection Vehicles with Highly Automated Driving Features
    Henriques, Bernardo
    Mauthner, Thomas
    Hasenbichler, Gernot
    Amarasinghe, Indula
    ATZheavy Duty Worldwide, 2021, 14 (02) : 10 - 15
  • [47] Learning to falsify automated driving vehicles with prior knowledge
    Favrin, Andrea
    Nenchev, Vladislav
    Cenedese, Angelo
    IFAC PAPERSONLINE, 2020, 53 (02): : 15122 - 15127
  • [48] Comfortable driving control for connected automated vehicles based on deep reinforcement learning and knowledge transfer
    Wu, Chuna
    Chen, Jing
    Yao, Jinqiang
    Chen, Tianyi
    Cao, Jing
    Zhao, Cong
    IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (12) : 2678 - 2692
  • [49] Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging
    Zhang, Jian
    Tang, Tie-Qiao
    Yan, Yadan
    Qu, Xiaobo
    APPLIED ENERGY, 2021, 282
  • [50] Ecological Driving System for Connected/Automated Vehicles Using a Two-Stage Control Hierarchy
    Huang, Ke
    Yang, Xianfeng
    Lu, Yang
    Mi, Chunting Chris
    Kondlapudi, Prathyusha
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (07) : 2373 - 2384