• DocumentCode
    1891141
  • Title

    Vehicle trajectory prediction for adaptive cruise control

  • Author

    Sung Gu Yi ; Chang Mook Kang ; Seung-Hi Lee ; Chung Choo Chung

  • Author_Institution
    Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    59
  • Lastpage
    64
  • Abstract
    In this paper, we propose a new vehicle trajectory prediction algorithm for adaptive cruise control (ACC). When vehicle trajectory prediction is not precise enough, it is possible for a neighboring vehicle to be detected as a target. Thus, we propose a new method using both yaw rate and curvature rate to precisely predict vehicle trajectory and to resolve an undesirable case in ACC system. The proposed method was validated via CarSim and MATLAB/Simulink. Also, we validated the proposed method via experimental results with a test vehicle on highway system for the practicality.
  • Keywords
    adaptive control; control engineering computing; road traffic control; traffic engineering computing; trajectory control; ACC system; CarSim; Matlab; Simulink; adaptive cruise control; curvature rate; highway system; vehicle trajectory prediction algorithm; yaw rate; Acceleration; Mathematical model; Roads; Trajectory; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2015 IEEE
  • Conference_Location
    Seoul
  • Type

    conf

  • DOI
    10.1109/IVS.2015.7225663
  • Filename
    7225663