• DocumentCode
    2454276
  • Title

    Prediction of freeway incident duration based on the multi-model fusion algorithm

  • Author

    Ji, Ying

  • Author_Institution
    Dept. of Traffic & Logistics Eng., Shandong Jiaotong Univ., Jinan, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    3327
  • Lastpage
    3329
  • Abstract
    Incident management system is one of the important part of ATIS, the prediction of incident duration is an important foundation of expressway incident management system. The marked influence factors of incident duration are determined by analysis of variance, then stepwise regression analysis and decision tree are used to predict the incident duration of expressway. In order to reduce errors of the prediction based on stepwise regression analysis and decision tree, Put forward the Multi-model fusion algorithm.
  • Keywords
    decision trees; regression analysis; road accidents; sensor fusion; traffic information systems; ATIS; advanced traveler information system; analysis of variance; decision tree; expressway incident management system; freeway incident duration prediction; multimodel fusion algorithm; stepwise regression analysis; Analytical models; Decision trees; Equations; Mathematical model; Predictive models; Regression analysis; Transportation; Multi-model fusion; decision tree; incident duration; incident management; stepwise regression analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965024
  • Filename
    5965024