• DocumentCode
    2943974
  • Title

    Intersection Safety Evaluation Method Based on Bayesian Network

  • Author

    Zhu Sheng-xue ; Lu Jian ; Xiang Qiao-jun ; Yan Linli

  • Author_Institution
    Sch. of Transp., Southeast Univ., Nanjing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    234
  • Lastpage
    237
  • Abstract
    In order to objectively evaluate the traffic safety performance of intersection, this study puts forward an intersection safety evaluation model based on BN which treats the expertspsila different opinions effectively, and obtains reasonable results even without certain expertspsila opinions. Then the paper presents the topological structure of the model and the reasoning process of aggregating expertspsila experiences and knowledge. Finally the paper evaluates an intersection with the model to show that it diagnoses and analyses the intersection safety conveniently which neednpsilat the traffic accident statistical data and traffic conflict survey.
  • Keywords
    Bayes methods; belief networks; inference mechanisms; road safety; road traffic; Bayesian network; intersection traffic safety evaluation method; reasoning process; topological structure; Artificial intelligence; Automation; Bayesian methods; Economic forecasting; Mechatronics; Road accidents; Road safety; Telecommunication traffic; Traffic control; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.172
  • Filename
    5203190