• Title of article

    Chaotic analysis of traffic time series

  • Author/Authors

    Pengjian Shang، نويسنده , , Santi Kamae، نويسنده ,

  • Issue Information
    دوهفته نامه با شماره پیاپی سال 2005
  • Pages
    8
  • From page
    121
  • To page
    128
  • Abstract
    In this paper, we applied non-linear time series modeling techniques to analyze the traffic data collected from the Beijing Xizhimen. The results indicated that chaotic characteristics obviously exist in the traffic system; techniques based on phase space dynamics can be used to analyze and predict the traffic speed.
  • Journal title
    Chaos, Solitons and Fractals
  • Serial Year
    2005
  • Journal title
    Chaos, Solitons and Fractals
  • Record number

    901453