• DocumentCode
    3573935
  • Title

    Research on macroscopic traffic flow characteristics for automatic-driven flow in highway

  • Author

    Lihua Luo

  • Author_Institution
    Dept. of Transp. & Commun., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2014
  • Firstpage
    5967
  • Lastpage
    5971
  • Abstract
    With the application of intelligent transportation system, vehicle Adaptive Cruise Control (ACC) is widely used in highway. The macroscopic model of traffic flow consisting of ACC-equipped vehicles is investigated and analyzed in this paper. Based on state feedback control strategy of ACC, the macroscopic model for automated traffic flow is established by integrating the dynamical law of traffic flow (conservation equation, flow distribution). Then the macroscopic traffic flow model for automated flow is verified by simulation experiments with periodic boundary. Finally, it is proved that the application of ACC system is beneficial to increase the throughput and improve the traffic flow efficiently by analyzing the fundamental diagram and comparing them to the manual-driven traffic flow.
  • Keywords
    adaptive control; intelligent transportation systems; state feedback; vehicle dynamics; ACC-equipped vehicles; adaptive cruise control; automated traffic flow; automatic-driven flow; conservation equation; dynamical law; flow distribution; fundamental diagram; highway; intelligent transportation system; macroscopic traffic flow characteristics; manual-driven traffic flow; periodic boundary; state feedback control strategy; Adaptation models; Adaptive systems; Control systems; Mathematical model; Road transportation; Vehicles; adaptive cruise control system; intelligent highway; macroscopic traffic flow characteristics; state feedback control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053742
  • Filename
    7053742