• DocumentCode
    1967863
  • Title

    Notice of Retraction
    Identification of important sections for emergency rescue road network

  • Author

    Wang Tao ; Ma Guang-bao ; Wu, Lin-li

  • Author_Institution
    Basic Courses Department, Automobile Management Institute of PLA, Bengbu, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-11 July 2010
  • Firstpage
    529
  • Lastpage
    532
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Quick and accurate identification of important sections for emergency rescue road network is of great values to emergency rescue transport program, command and control and other transport services as well. Regarding inadequacy of current research in this field, this paper proposes a model of identification of important sections for emergency rescue road network based on GERT network. Firstly, a matrix algorithm of seeking the network of the biggest connectivity map between multiple rescue points and multiple accidents points of road network is designed; secondly, conceptions concerning sections importance of road network are defined and GERT network model algorithm of sections importance for road network is designed; and finally, this paper introduces the application of this model by an example and verifies its feasibility and effectiveness.
  • Keywords
    GERT; identification; important sections; road network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (IIS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7860-6
  • Type

    conf

  • DOI
    10.1109/INDUSIS.2010.5565771
  • Filename
    5565771