• DocumentCode
    3517178
  • Title

    Research on Chaos Characters of Velocity in Traffic Flow

  • Author

    Yu, Dan ; Hou, Zhixiang ; Yuan, Huihua ; Yin, Xiaomei

  • Author_Institution
    Sch. of Traffic Transp. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-12 Nov. 2010
  • Firstpage
    205
  • Lastpage
    210
  • Abstract
    Based on the NS Model, a mixed traffic flow on single lane is simulated in the paper, which includes two-classification vehicles owing the different max-velocity, and a chaos recognition algorithm based on composite feature is advanced. How the traffic flow is changed for different density and different discrete degree and which channel is the right way to chaos is researched. And the influence of the density of traffic flow and the discrete of following-velocity on the chaos of traffic flow is analyzed in different values named approximate entropy and statistical complexity, which are changed as the mixed proportionality factor.
  • Keywords
    cellular automata; entropy; road traffic; NaSch Model; approximate entropy; cellular automata model; chaos characters; chaos recognition algorithm; mixed proportionality factor; mixed traffic flow; statistical complexity; traffic flow chaos; traffic flow density; two-classification vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
  • Conference_Location
    Haiko
  • Print_ISBN
    978-1-4244-8683-0
  • Type

    conf

  • DOI
    10.1109/ICOIP.2010.337
  • Filename
    5663288