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] 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
  • [32] 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
  • [33] Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios
    Le, Viet-Anh
    Chalaki, Behdad
    Tzortzoglou, Filippos N.
    Malikopoulos, Andreas A.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2024,
  • [34] A Platoon-Based Hierarchical Merging Control for On-Ramp Vehicles Under Connected Environment
    Xue, Yongjie
    Ding, Chuan
    Yu, Bin
    Wang, Wensa
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (11) : 21821 - 21832
  • [35] A Dynamic Adaptive Algorithm for Merging Into Platoons in Connected Automated Environments
    Karbalaieali, Sogand
    Osman, Osama A.
    Ishak, Sherif
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (10) : 4111 - 4122
  • [36] A Multi-Vehicle Self-Organized Cooperative Control Strategy for Platoon Formation in Connected Environment
    Zhang, Mengqi
    Wang, Chunyan
    Zhao, Wanzhong
    Liu, Jinqiang
    Zhang, Ziyu
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2025, 26 (03) : 4002 - 4018
  • [37] Modeling and impact analysis of connected vehicle merging accounting for mainline random length tight-platoon
    Xin, Qi
    Fu, Rui
    Ukkusuri, Satish, V
    Yu, Shaowei
    Jiang, Rui
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2021, 563
  • [38] 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
  • [39] Robust control for connected automated vehicle platoon with multiple-predecessor following topology considering communication loss
    Yang, Lei
    Sun, Zhanbo
    Liu, Yafei
    Chen, Linbin
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2025, 196
  • [40] Collaborative Control Switching Strategy for Merging into An Automated Platoon
    Cheng, Ming
    Li, Zhengyi
    Wang, Zixuan
    Luo, Xiao
    Liu, Bin
    Hu, Hongyu
    2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 3449 - 3454