Vehicle-Following Model Using Virtual Piecewise Spline Tow Bar

被引:4
|
作者
Zhao, Zheng [1 ]
Chen, Weihai [1 ]
Wu, Xingming [1 ]
Liu, Zhong [1 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
关键词
Vehicle following; Virtual piecewise spline tow-bar; Visual recognition; Laser detection;
D O I
10.1061/(ASCE)TE.1943-5436.0000886
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Vehicle following has always been a hotspot of research in the transportation system. It can be used in many applications, such as unmanned ground vehicle (UGV) queue marching, traffic congestion relief, automatic driving systems, etc. Trajectory tracking has been the main consideration in previous studies, but the research about following distance is rare. In this paper, a novel vehicle-following model is proposed for independent vehicle following. In the proposed model, multisensor information is fused to promote the detection accuracy. Moreover, a virtual piecewise spline tow-bar is built between the leader vehicle and the follower vehicle. According to the state of virtual tow-bar, the following speed and heading can be well controlled, to keep a reasonable gap between two vehicles. The proposed vehicle-following model is designed for low speed and minor vehicle spacing case. By using the proposed vehicle-following model, the performance of multple-vehicle automatic cruise can be improved, resulting in a steady traffic flow on an express way. Then the stop-and-go waves of congestion can probably be relieved. Simulation and experiment are conducted to validate the efficiency and robustness of the proposed vehicle-following model.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Study of traffic flow characteristics using different vehicle-following models under mixed traffic conditions
    Asaithambi, Gowri
    Kanagaraj, Venkatesan
    Srinivasan, Karthik K.
    Sivanandan, R.
    [J]. TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2018, 10 (02): : 92 - 103
  • [22] Crash Risk Assessment for Heterogeneity Traffic and Different Vehicle-Following Patterns Using Microscopic Traffic Flow Data
    Shen, Jiajun
    Yang, Guangchuan
    [J]. SUSTAINABILITY, 2020, 12 (23) : 1 - 18
  • [23] Path following of mobile robots using a virtual vehicle approach
    Han Da-peng
    Wei Qing
    Li Ze-xiang
    [J]. 2006 CHINESE CONTROL CONFERENCE, VOLS 1-5, 2006, : 597 - +
  • [24] An Adaptive Stochastic Model Predictive Control Strategy for Plug-in Hybrid Electric Bus During Vehicle-Following Scenario
    Pu, Zesong
    Jiao, Xiaohong
    Yang, Chao
    Fang, Shengnan
    [J]. IEEE ACCESS, 2020, 8 : 13887 - 13897
  • [25] Modeling of virtual flexible bar with force-delay for stand-alone vehicle automatic following
    Chen W.
    Zhang X.
    Lü Z.
    Wu X.
    [J]. Jiqiren/Robot, 2011, 33 (05): : 599 - 605+613
  • [26] Data-driven Koopman model predictive control for hybrid energy storage system of electric vehicles under vehicle-following scenarios
    Chen, Bin
    Wang, Miaoben
    Hu, Lin
    He, Guo
    Yan, Haoyang
    Wen, Xinji
    Du, Ronghua
    [J]. APPLIED ENERGY, 2024, 365
  • [27] Dynamic path planning and path following control for autonomous vehicle based on the piecewise affine tire model
    Chen, Wuwei
    Yan, Mingyue
    Wang, Qidong
    Xu, Kai
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2021, 235 (2-3) : 881 - 893
  • [28] Causal Analysis of the Factors Influencing Vehicle Following Distance Using Immersive Virtual Environments
    Rentala, Girish Srivatsa
    Zhu, Yimin
    Mukhopadhyay, Supratik
    [J]. INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2023: TRANSPORTATION SAFETY AND EMERGING TECHNOLOGIES, 2023, : 469 - 479
  • [29] Safe Autonomous Multi-vehicle Navigation Using Path Following Control and Spline-Based Barrier Functions
    Reis, Matheus F.
    Andrade, Gustavo A.
    Aguiar, A. Pedro
    [J]. ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE ADVANCES IN ROBOTICS, VOL 1, 2024, 976 : 297 - 309
  • [30] A numerical study of the derailment caused by collision of a rail vehicle using a virtual testing model
    Cho, Hyun Jik
    Koo, Jeong Seo
    [J]. VEHICLE SYSTEM DYNAMICS, 2012, 50 (01) : 79 - 108