A Review of Connected and Automated Vehicle Platoon Merging and Splitting Operations

被引:41
|
作者
Li, Qianwen [1 ]
Chen, Zhiwei [2 ]
Li, Xiaopeng [1 ]
机构
[1] Univ S Florida, Dept Civil & Environm Engn, Tampa, FL 33620 USA
[2] Drexel Univ, Dept Civil Architectural & Environm Engn, Philadelphia, PA 19104 USA
基金
美国国家科学基金会;
关键词
Merging; Protocols; Trajectory; Trajectory planning; Fuels; Safety; Vehicular ad hoc networks; Platoon; merge; split; connected and automated vehicle; trajectory planning; vehicle control; ADAPTIVE CRUISE CONTROL; COMMUNICATION; DESIGN; MANAGEMENT; NETWORKS; STRATEGY; SYSTEMS; ROADS; MODEL;
D O I
10.1109/TITS.2022.3193278
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Connected and automated vehicle (CAV) platoons have drawn much attention in the past decades, given their potential to reduce fuel consumption, elevate roadway capacity, and enhance traffic safety. As two basic platoon operations, platoon merging and splitting have been widely investigated. This study provides an overview of theoretical models and field experiments of CAV platoon merging and splitting operations. A three-step framework, including protocol design, trajectory planning, and vehicle control, is proposed to unify existing representative studies. Methodological techniques in each step are summarized and discussed. Finally, future research directions are discussed. This study contributes to the literature by providing a framework that categorizes relevant literature and guides the successful development of platoon merging and splitting operations. More importantly, it offers researchers and practitioners a rich reference for further investigations.
引用
收藏
页码:22790 / 22806
页数:17
相关论文
共 50 条
  • [31] Driving Capability Requirements for Leading Vehicle Driver of Intelligent Connected Truck Platoon : Review
    Wu Y.-P.
    Zhao Z.-L.
    Ni P.
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2024, 37 (02): : 219 - 238
  • [32] Merging Strategies, Trajectory Planning and Controls for Platoon of Connected, and Autonomous Vehicles
    Mohammad Goli
    Azim Eskandarian
    International Journal of Intelligent Transportation Systems Research, 2020, 18 : 153 - 173
  • [33] Connected Autonomous Vehicle Platoon Control Considering Vehicle Dynamic Information
    Li, Yongfu
    He, Changpeng
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 4832 - 4837
  • [34] Impacts of connected autonomous vehicle platoon breakdown on highway
    Wu, Xuelian
    Postorino, Maria Nadia
    Mantecchini, Luca
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2024, 650
  • [35] A Distributed Adaptive Triple-Step Nonlinear Control for a Connected Automated Vehicle Platoon With Dynamic Uncertainty
    Guo, Hongyan
    Liu, Jun
    Dai, Qikun
    Chen, Hong
    Wang, Yulei
    Zhao, Wanzhong
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (05): : 3861 - 3871
  • [36] Planning trajectories for connected and automated vehicle platoon on curved roads: A two-dimensional cooperative approach
    Yao, Shengyue
    Zhou, Yang
    Friedrich, Bernhard
    Ahn, Soyoung
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 165
  • [37] Throughput Variance of Connected Automated Traffic on a Platoon Lane
    Beheshtitabar, E.
    Alipour, E. Mohammad
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2021: TRANSPORTATION OPERATIONS, TECHNOLOGIES, AND SAFETY, 2021, : 110 - 120
  • [38] Cooperative optimal control for connected and automated vehicles platoon
    Chen, Jianzhong
    Li, Jing
    Xu, Zhaoxin
    Wu, Xiaobao
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 607
  • [39] Review of Connected Autonomous Vehicle Cooperative Control at On-Ramp Merging Areas
    Li, Chun
    Wu, Zhizhou
    Zeng, Guang
    Zhao, Xin
    Yang, Zhidan
    Computer Engineering and Applications, 60 (12): : 1 - 17
  • [40] Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach
    Chen, Tianyi
    Wang, Meng
    Gong, Siyuan
    Zhou, Yang
    Ran, Bin
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 133