• DocumentCode
    2073541
  • Title

    Assessment of urban road traffic safety based on attribute recognition theory

  • Author

    Wu, Jie ; Lu, Jian

  • Author_Institution
    Sch. of Transp., Southeast Univ., Nanjing, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    1206
  • Lastpage
    1209
  • Abstract
    As an important link of the whole traffic management, evaluation on urban road traffic safety level can provide scientific references for urban road traffic safety management. This paper establishes the attribute synthetic assessment model and methods based on the attribute theory after that a rational, comprehensive evaluation index system is built. This model is not only suitable for the horizontal comparison of road traffic safety situation between different cities, but also capable for vertical comparison of road traffic safety in one city or district during different periods. In the end, the paper researches on Changshu city, and assesses its urban road traffic safety by the model and methods mentioned above. The research result shows that the application of attribute synthetic assessment model on urban road traffic system can identify safety limiting factors, and can offer some assistant decisions for urban traffic management.
  • Keywords
    road safety; road traffic; attribute recognition theory; attribute synthetic assessment model; horizontal comparison; scientific references; urban road traffic safety assessment; urban road traffic safety management; urban traffic management; vertical comparison; Accidents; Cities and towns; Educational institutions; Indexes; Roads; Safety; Vehicles; assessment; attribute recognition theory; index system; traffic management; traffic safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199422
  • Filename
    6199422