• DocumentCode
    526912
  • Title

    Study on the forecasting method of traffic violation black spot

  • Author

    Jiaxing, Hu ; Yan, Chen ; Zhanquan, Sun ; Wei, Liu

  • Author_Institution
    Transp. Manage. Sch., Dalian Maritime Univ., Dalian, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-11 July 2010
  • Firstpage
    30
  • Lastpage
    33
  • Abstract
    With the increasing of vehicle quantity, traffic violations occur frequently. It is an efficient means to avoid traffic accident through controlling traffic violation. Based on the study of traffic accidents, black spot of traffic violation can be determined. But little research work has been done on this subject at present. This paper proposed a traffic violation black spot analysis method. In the method, SVM is used to forecast the future traffic violation frequency rate and weight method is used to identify the black spot. The efficiency of the proposed method is illustrated through analyzing a practical example.
  • Keywords
    forecasting theory; road accidents; road traffic; support vector machines; traffic engineering computing; SVM; forecasting method; future traffic violation frequency rate; traffic accidents; traffic violation black spot analysis method; weight method; Black Spot; SVM; Traffic Violation; Weight Method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (IIS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7860-6
  • Type

    conf

  • DOI
    10.1109/INDUSIS.2010.5565922
  • Filename
    5565922