• DocumentCode
    2369224
  • Title

    Traffic incident detection algorithm based on non-parameter regression

  • Author

    Shuming, Tang ; Xiaoyan, Gong ; Feiyue, Wang

  • Author_Institution
    Inst. of Autom., Acad. Sinica, Beijing, China
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    714
  • Lastpage
    719
  • Abstract
    We first describe the traffic congestion problem that many countries are facing with in the world. Then we propose a traffic incident detection algorithm based on non-parametric regression to solve the congestion problem. Finally, we compare the algorithm with other incident detection algorithms on the detection rate, false alarm rate and mean detection time. A simulation result shows the algorithm proposed has higher detection rate, lower false alarm rate and longer mean time detection. Furthermore, we state the direction of our next study.
  • Keywords
    accidents; identification; road traffic; statistical analysis; traffic control; traffic engineering computing; detection rate; false alarm rate; mean detection time; mode identification; nonparametric regression; road traffic control; traffic congestion; traffic incident detection algorithm; Automobiles; Cities and towns; Delay effects; Detection algorithms; Economic forecasting; Frequency; Loss measurement; Roads; Transportation; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on
  • Print_ISBN
    0-7803-7389-8
  • Type

    conf

  • DOI
    10.1109/ITSC.2002.1041306
  • Filename
    1041306