• DocumentCode
    1974814
  • Title

    Algorithm research for automatic incident detection based on wavelet analysis and contour method

  • Author

    Deng, Wen-Tan ; Zhao, Hui-Bing

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    539
  • Lastpage
    543
  • Abstract
    Automatic incident detection algorithm is the core of freeway traffic incident management. In this paper, the wavelet analysis and contour method are used to present the automatic traffic incident detection algorithm, which detects the singularity of traffic parameters signal and estimates the time of the traffic events. The algorithm is validated by the simulation data of Microscopic traffic simulation system VISSIM. The result shows that the algorithm has good applicability, accuracy and reliability, with good practical value.
  • Keywords
    road traffic; roads; wavelet transforms; Microscopic traffic simulation system; VISSIM; algorithm research; automatic incident detection algorithm; automatic traffic incident detection algorithm; contour method; freeway traffic incident management; simulation data; traffic events; traffic parameters signal; wavelet analysis; Algorithm design and analysis; Automation; Detection algorithms; Educational institutions; Road transportation; Traffic control; Wavelet analysis; Automatic Incident Detection; Contour; Singularity; Wavelet Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6057133
  • Filename
    6057133