• DocumentCode
    3205031
  • Title

    Methodology for Evaluating and Improving Road Network Topology Vulnerability

  • Author

    Tu Yingfei ; Yang Chao ; Chen Xiaohong

  • Author_Institution
    Sch. of Transp. Eng., Tongji Univ., Shanghai, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    664
  • Lastpage
    669
  • Abstract
    The situation that the road network loses its connectivity due to links´ unavailability is discussed in this paper. Since the connectivity of the network is always determined by its topological structure, the problem is defined as topology vulnerability. Mincuts frequency vector is chosen as the index for evaluating the network´s topology vulnerability. The larger the index is, the more vulnerable the network is. Two ways for improving network´s topology vulnerability are analyzed. Based on the network´s topology vulnerability index, links´ criticality index is calculated. The larger the index is, the more critical the link is, as its failure is more likely to disconnect the network. Then the better the improvement effect of its disaster-resistant ability´s enhancement will have. Taken greedy triangulation network as reference, adding links onto the network will also improve its topology vulnerability. The topology vulnerability index is used for determining the priority of construction scenarios. A trial network is used to present the algorithm of the methodology proposed and Sioux Falls network is taken as an application example.
  • Keywords
    network topology; road traffic; transportation; Sioux Falls network; greedy triangulation network; mincuts frequency vector; road network topology vulnerability; topological structure; Automation; Chaos; Computer networks; Current measurement; Disaster management; Frequency; Intelligent networks; Network topology; Road transportation; Telecommunication network topology; criticality index; disaster-resistant ability; road network; topology vulnerability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.603
  • Filename
    5523334