Stability and Safety of Cooperative Adaptive Cruise Control Vehicular Platoon under Diverse Information Flow Topologies

被引:4
作者
Dai, Yulu [1 ]
Yang, Yuwei [1 ]
Zhong, Hongming [1 ]
Zuo, Huijun [2 ]
Zhang, Qiang [3 ]
机构
[1] Southeast Univ, Sch Transportat, Nanjing, Jiangsu, Peoples R China
[2] 5Ubunit 26 Unit 96901 PLA, Beijing, Peoples R China
[3] Unit 61741 PLA, Beijing, Peoples R China
关键词
STRING STABILITY; LINEAR-STABILITY; CONTROL STRATEGY; SYSTEMS; VALIDATION; CACC;
D O I
10.1155/2022/4534692
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the cooperative adaptive cruise control (CACC) vehicular platoon, apart from decentralized controllers, the dynamics of a platoon can be affected substantially by the information flow among connected and automated vehicles (CAVs). Existing research studies mainly focus on the stability analysis of platoons where CAVs only adopt the predecessor-following (PF) communication scheme; however, when CAVs "look" further ahead or behind than one vehicle, the stability of platoons might change. To this end, this study seeks to explore the stability and investigate the rear-end collision risk of CACC vehicular platoon under diverse information flow topologies. The research first comprehensively reviews typical information flow topologies for CAV platoons and platoon stability criteria for analyzing local and string stability of platoons. Moreover, the CACC longitudinal dynamic model is derived using the exact feedback linearization technique, which accommodates the inertial delay of powertrain dynamics. Accordingly, sufficient conditions of stability are mathematically derived to guarantee distributed frequency-domain-based control parameters. Simulation experiments are conducted to verify the correctness of derived sufficient stability conditions. The results show that platoons could better maintain stability with more vehicle information taken into consideration. However, when assessing the safety, it is found that the bidirectional type information flow topology would increase rear-end collision risk for CAV platoon. Further, the information flow topology of two-predecessor-leader following is the most recommended to enhance fully CAV platoon stability.
引用
收藏
页数:28
相关论文
共 41 条
  • [1] Robustly String Stable Longitudinal Control for Vehicle Platoons Under Communication Failures: A Generalized Extended State Observer-Based Control Approach
    Chen, Qian
    Zhou, Yang
    Ahn, Soyoung
    Xia, Jingxin
    Li, Shen
    Li, Shihua
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 8 (01): : 159 - 171
  • [2] Finite time observer-based super-twisting sliding mode control for vehicle platoons with guaranteed strong string stability
    Chen, Qian
    Xu, Long
    Zhou, Yang
    Li, Shihua
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2022, 16 (12) : 1726 - 1737
  • [3] Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach
    Desjardins, Charles
    Chaib-draa, Brahim
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2011, 12 (04) : 1248 - 1260
  • [4] Stability analysis of bidirectional adaptive cruise control with asymmetric information flow
    Ghasemi, Ali
    Kazemi, Reza
    Azadi, Shahram
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2015, 229 (02) : 216 - 226
  • [5] Platoon Stability Conditions Under Inter-vehicle Additive Noisy Communication Channels
    Gordon, Marco A.
    Vargas, Francisco J.
    Peters, Andrees A.
    Maass, Alejandro, I
    [J]. IFAC PAPERSONLINE, 2020, 53 (02): : 3150 - 3155
  • [6] Control of connected and automated vehicles: State of the art and future challenges
    Guanetti, Jacopo
    Kim, Yeojun
    Borrelli, Francesco
    [J]. ANNUAL REVIEWS IN CONTROL, 2018, 45 : 18 - 40
  • [7] Multi-anticipative bi-directional visual field traffic flow models in the connected vehicle environment
    Hu, Yanmei
    Ma, Tianshan
    Chen, Jianzhong
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2021, 584
  • [8] Design and field evaluation of cooperative adaptive cruise control with unconnected vehicle in the loop
    Lee, Daegyu
    Lee, Seungwook
    Chen, Zheng
    Park, B. Brian
    Shim, David Hyunchul
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 132
  • [9] Multi-modal feature fusion for geographic image annotation
    Li, Ke
    Zou, Changqing
    Bu, Shuhui
    Liang, Yun
    Zhang, Jian
    Gong, Minglun
    [J]. PATTERN RECOGNITION, 2018, 73 : 1 - 14
  • [10] Traffic flow stability induced by constant time headway policy for adaptive cruise control vehicles
    Li, PY
    Shrivastava, A
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2002, 10 (04) : 275 - 301