• DocumentCode
    2496010
  • Title

    Researching the relationship among traffic flow three parameters based on swallowtail catastrophe model

  • Author

    Guo, Jian ; Wu, Dongjian

  • Author_Institution
    Dept. of Nucl. Power Eng., Harbin Eng. Univ., Harbin
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    7187
  • Lastpage
    7191
  • Abstract
    The kick phenomena of traffic flow can be solved by taking catastrophe mathematic models to research the relationship among traffic flow three parameters. The limitation of cusp catastrophe model is remedied by swallowtail catastrophe model, and swallowtail catastrophe model is qualitatively analyzed. It is hard to set up potential function by using conventional methods. So the potential function is set up on the basic of the evolution relationship among systems. Based on a group of measured data and the result of polynomial fitting, the relationship between velocity-density, velocity-flow and flow-density are analyzed respectively. The result of theoretical analysis is conformed to the practical condition. Because of measured data, which is detailed, it is workable to analyze these kind problems by using the method.
  • Keywords
    catastrophe theory; polynomial approximation; road traffic; catastrophe mathematical model; cusp catastrophe model; evolution relationship; flow-density relationship; kick phenomena; polynomial fitting; potential function; swallowtail catastrophe model; traffic flow parameters; urban traffic system; velocity-density relationship; velocity-flow relationship; Automation; Intelligent control; Mathematical model; Mathematics; Polynomials; Power engineering; Power engineering and energy; Power system modeling; Traffic control; Velocity measurement; potential function; swallowtail catastrophe; traffic flow; traffic flow three parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594035
  • Filename
    4594035