• DocumentCode
    2820512
  • Title

    The Evaluation Method of Road Network Connectivity Reliability Based on Key Segments Identification

  • Author

    Liu, Xuejie ; Wen, Huimin ; Gao, Yong

  • Author_Institution
    Beijing Transp. Res. Center, Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    69
  • Lastpage
    71
  • Abstract
    Traditional evaluation method of network connectivity reliability recognizes the road connectivity condition by using the two-value approach. This method makes the calculation increase with the index growth rate when the link numbers increase and is hard to apply in the high-density urban road network. Based on the relationship between the segment condition and the road network capability under the disaster, the paper presents that the key segments are the segments which have the highest broken-down probability and decisive influence on the road network capability. Further, this paper designed a new evaluation method of connectivity reliability based on the key segments identification, identified the key segments using Beijing data, and analyzed the influence rule after the typical key segments being broken down. The result shows that the new method provides an effective and practical tool to improve the anti-destruction capability of the road network.
  • Keywords
    disasters; probability; road accidents; road safety; road traffic; Beijing data; antidestruction capability; broken-down probability; decisive influence; disaster; high-density urban road network connectivity reliability evaluation method; index growth rate; key segment identification; two-value approach; Computer networks; Data analysis; Optimization methods; Probes; Road transportation; Telecommunication traffic; Testing; Traffic control; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.166
  • Filename
    5193900