• DocumentCode
    1687422
  • Title

    Combined method for traffic incident detection based on wavelet analysis and Catastrophic Theory

  • Author

    Feng, Jinqiao ; Shen, Liping ; Zhang, Lidong ; Liu, Wei

  • Author_Institution
    High Performance Lab., Shandong Comput. Sci. Center, Jinan, China
  • fYear
    2010
  • Firstpage
    5604
  • Lastpage
    5609
  • Abstract
    Combined with superiority of wavelet in dealing with time-varying information and advantage of Catastrophic Theory in dealing with breakdown automatically, an automatic traffic incident detection method based on wavelet analysis and Catastrophic Theory is presented in this paper. The new method has general adaptability because of the combination strategy of wavelet theory and Catastrophic Theory. And it is better than the traditional method based on Catastrophic Theory because of double-scale detection. We test the new model with the traffic speed data at the end of the paper.
  • Keywords
    road traffic; wavelet transforms; catastrophic theory; double-scale detection; time-varying information; traffic incident detection; traffic speed data; wavelet analysis; Adaptation model; Automation; Companies; Data models; Electric breakdown; Laboratories; Wavelet analysis; automatic incident detection; catastrophe theory; double-scale detection; wavelet theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554441
  • Filename
    5554441