Consensus-Based Control Strategy for Mixed Platoon under Delayed V2X Environment

被引:4
作者
Zhao, Hang [1 ,2 ]
Sun, Dihua [1 ,2 ]
Jin, Shuang [1 ,2 ]
Zhao, Min [1 ,2 ]
Chen, Xinhai [1 ,2 ,3 ]
机构
[1] Chongqing Univ, Key Lab Dependable Serv Comp Cyber Phys Soc, Minist Educ, Chongqing 400044, Peoples R China
[2] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
[3] Chongqing Engn Res Ctr Res & Testing Automated Dri, Intelligent Applicat Dept, Chongqing 400074, Peoples R China
基金
中国国家自然科学基金;
关键词
Mixed vehicle platoon; Consensus; Time-varying delays; Vehicle dynamics; Cyberphysical system; HUMAN-DRIVEN VEHICLES; TRAFFIC FLOW; AUTOMATED VEHICLES; MODEL; HEADWAY;
D O I
10.1061/JTEPBS.TEENG-7572
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper develops a mixed platoon control strategy incorporating vehicle dynamics and time-varying vehicle-to-everything (V2X) delays to guarantee the consensus of a mixed platoon and reduce the impacts caused by the inconstant driving behavior of human-driven vehicles (HVs). In particular, a system control framework is established for a mixed vehicle platoon, which bears HVs and connected automated vehicles (CAVs). More precisely, this system control framework considers directly controlling CAVs and indirectly guiding the HVs to improve the consensus of the whole platoon with respect to velocity error and headway. Furthermore, based on the third-order closed-loop dynamic model, the consideration of vehicle dynamics and time-varying delays are taken into account. Then, theoretical analysis employs Lyapunov-Krasovskii theory to derive the delay boundary that determines the asymptotic stability and local string stability. Finally, a performance comparison with the existing algorithm is carried out to further demonstrate the advantages of the proposed strategy.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Consensus-Based Track Association with Multistatic Sensors under a Nested Probabilistic-Numerical Linguistic Environment
    Wang, Xinxin
    Xu, Zeshui
    Gou, Xunjie
    [J]. SENSORS, 2019, 19 (06):
  • [42] Consensus-Based Delay-Tolerant Distributed Secondary Control Strategy for Droop Controlled AC Microgrids
    Ullah, Shafaat
    Khan, Laiq
    Sami, Irfan
    Ullah, Nasim
    [J]. IEEE ACCESS, 2021, 9 : 6033 - 6049
  • [43] Coordinated control method of intersection traffic light in one-way road based on V2X
    Gao, Kai
    Han, Fa-rong
    Wen, Meng-fei
    Du, Rong-hua
    Li, Shuo
    Zhou, Feng
    [J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2019, 26 (09) : 2516 - 2527
  • [44] Platoon-based control strategy in mixed traffic to improve ramp merging efficiency and fuel reduction
    Zhang, Chenxi
    Ma, Minghui
    Liang, Shidong
    Yang, Jufen
    Wu, Chaoteng
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2024, 645
  • [45] Research on the Impacts of Generalized Preceding Vehicle Information on Traffic Flow in V2X Environment
    Wang, Xiaoyuan
    Han, Junyan
    Bai, Chenglin
    Shi, Huili
    Zhang, Jinglei
    Wang, Gang
    [J]. FUTURE INTERNET, 2021, 13 (04):
  • [46] Joint Resource Allocation for V2X Sensing and Communication Based on MADDPG
    Zhong, Zhiyong
    Peng, Zhangyou
    [J]. IEEE ACCESS, 2025, 13 : 12764 - 12776
  • [47] A Platoon-Based Hierarchical Merging Control for On-Ramp Vehicles Under Connected Environment
    Xue, Yongjie
    Ding, Chuan
    Yu, Bin
    Wang, Wensa
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (11) : 21821 - 21832
  • [48] Design and Numerical Implementation of V2X Control Architecture for Autonomous Driving Vehicles
    Dhawankar, Piyush
    Agrawal, Prashant
    Abderezzak, Bilal
    Kaiwartya, Omprakash
    Busawon, Krishna
    Raboaca, Maria Simona
    [J]. MATHEMATICS, 2021, 9 (14)
  • [49] An extended car-following model considering the effect of driving prediction on headway and velocity variation under V2X environment
    Xie, Qing
    Liu, Tingting
    Kuang, Hua
    Bai, Kezhao
    Li, Xingli
    [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2025,
  • [50] V2V-Based Cooperative Control of Uncertain, Disturbed and Constrained Nonlinear CAVs Platoon
    Zhu, Yang
    Wu, Jun
    Su, Hongye
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (03) : 1796 - 1806