Collision-avoidance lane change control method for enhancing safety for connected vehicle platoon in mixed traffic environment

被引:25
|
作者
Ma, Yitao [1 ]
Liu, Qiang [1 ,2 ]
Fu, Jie [1 ,3 ]
Liufu, Kangmin [1 ]
Li, Qing [4 ]
机构
[1] Sun Yat Sen Univ, Sch Intelligent Syst Engn, Shenzhen 518000, Peoples R China
[2] Guangdong Marshell Elect Technol Co, Zhaoqing 526238, Peoples R China
[3] Sun Yat Sen Univ Guangzhou Automobile Res Inst Joi, Guangzhou 516000, Peoples R China
[4] Univ Sydney, Sch Aerosp Mech & Mechatron Engn, Sydney, NSW 2006, Australia
来源
基金
中国国家自然科学基金;
关键词
Collision-avoidance lane change; Connected vehicle platoon; Mixed traffic; Control method; Finite State Machine; ADAPTIVE CRUISE CONTROL; AUTOMATED TRUCK PLATOON; LONGITUDINAL SAFETY; SYSTEM;
D O I
10.1016/j.aap.2023.106999
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
In a mixed traffic environment, the connected vehicle platoon cannot communicate and collaborate with the surrounding vehicles. In this case, there is a high risk of collision in large vehicle platoon's lane change scenario where the non-connected surrounding vehicle occupies the target lane-changing space of the platoon. This study proposes a collision-avoidance lane change control method for a connected bus platoon to elude the non -connected vehicle in the target lane for completing lane change in the mixed traffic environment safely. A platoon vehicle sensor system with low-cost and low data processing complexity is designed, which equips with multiple sensors in longitudinal and lateral directions. Under control of the proposed platoon controller on the basis of vehicle-to-vehicle (V2V) communication, the platoon following vehicles are fully autonomous in both longitudinal and lateral directions. The safe lane change decision-maker is designed based on the Finite State Machine (FSM). The decision-maker fuses multiple sensor data and determines the lane change operation of the following vehicles. To verify the effectiveness of the proposed method, a three-vehicle platoon is carried out the lane change experiments in a high-fidelity mixed traffic scenario built by the PreScan-Simulink joint simulation platform. Exposure-to-Risk Index (ERI) of the platoon vehicles is adopted to evaluate the collision risk of the platoon during lane changing process. Three typical case scenarios are tested, including unimpeded lane change, passive waiting lane change, and active accelerating lane change. The simulation results show that all platoon vehicles have an excellent success rate in lane change without collision with the non-connected surrounding vehicle in these scenarios. The proposed method exhibits compelling benefits on improving the safety of platoon vehicles in the mixed traffic environment.
引用
收藏
页数:14
相关论文
共 36 条
  • [1] Enhancing Mixed Traffic Flow with Platoon Control and Lane Management for Connected and Autonomous Vehicles
    Peng, Yichuan
    Liu, Danyang
    Wu, Shubo
    Yang, Xiaoxue
    Wang, Yinsong
    Zou, Yajie
    SENSORS, 2025, 25 (03)
  • [2] Satisfaction-Based Optimal Lane Change Modelling of Mixed Traffic Flow and Intersection Vehicle Guidance Control Method in an Intelligent and Connected Environment
    Dong, Luxi
    Xie, Xiaolan
    Zhang, Lieping
    Cheng, Xiaohui
    Qiu, Bin
    SUSTAINABILITY, 2025, 17 (03)
  • [3] Mixed Vehicular Platoon Control Method Considering the Safety of Lane-Change and Cut-In
    Wang, Pangwei
    Sun, Yuanzhe
    Wang, Xindi
    Zhang, Long
    Zhang, Mingfang
    Liu, Jiang
    Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 32 (03): : 643 - 665
  • [4] Research on the Intelligent Connected Vehicle Lane Changing Strategies in Mixed Traffic Environment of Expressway
    Liu Y.
    Sun F.
    Yuan S.
    Gao L.
    Cao Y.
    Chen Y.
    Qiao J.
    Qiche Gongcheng/Automotive Engineering, 2024, 46 (05): : 754 - 765
  • [5] An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception
    Sun, Chuan
    Zheng, Sifa
    Ma, Yulin
    Chu, Duanfeng
    Yang, Junru
    Zhou, Yuncheng
    Li, Yicheng
    Xu, Tingxuan
    JOURNAL OF INTELLIGENT MANUFACTURING, 2021, 32 (05) : 1249 - 1269
  • [6] An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception
    Chuan Sun
    Sifa Zheng
    Yulin Ma
    Duanfeng Chu
    Junru Yang
    Yuncheng Zhou
    Yicheng Li
    Tingxuan Xu
    Journal of Intelligent Manufacturing, 2021, 32 : 1249 - 1269
  • [7] Design of collision avoidance method for vehicle emergency lane change based on Bezier curve
    Liu S.W.
    Xie J.Y.
    Wang J.Y.
    Advances in Transportation Studies, 2022, 2 (Special issue): : 35 - 46
  • [8] Driving Assistance of Welfare Vehicle with Virtual Platoon Control Method which has Collision Avoidance Function using Mixed Reality
    Matsunaga, Nobutomo
    Kimura, Ryota
    Ishiguro, Haruya
    Okajima, Hiroshi
    2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 1915 - 1920
  • [9] Vehicle-infrastructure cooperative control method of connected and signalized intersection in mixed traffic environment
    Wang R.-M.
    Zhang X.-R.
    Zhao X.-M.
    Wu X.
    Fan H.-J.
    Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, 2022, 22 (03): : 139 - 151
  • [10] A Guidence Method for Lane Change Detection a Signalized Intersections in Connected Vehicle Environment
    Wang, Tao
    Xu, Liangjie
    Chen, Guojun
    Zhao, Wei
    2019 5TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS 2019), 2019, : 32 - 38