• DocumentCode
    527026
  • Title

    d-Cover algorithm for location in urban emergency systems

  • Author

    Zhao, Yan-Chao ; Long, Xiao-Ju ; Xiao-Lin Xu ; Zhou, Bin

  • Author_Institution
    Northeast Pet. Univ., Daqing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    434
  • Lastpage
    437
  • Abstract
    This paper approached a cover algorithm for location problem in the optimization of emergency system. With the considering of requirements, emergency response time and total system cost, a distribution of the dispatch points can be obtained by the algorithm. The demands region/points can be covered by the circles with radius d and everyone takes a dispatch point as center. Contributes to the well property of Gaussian convolution, the local demands level can be obtained and the distribution based on covers and sorted demands is more efficient. Numerical examples show that the proposed algorithm can solve the location problem in the optimization of emergency systems.
  • Keywords
    Gaussian processes; emergency services; town and country planning; Gaussian convolution; cover algorithm; emergency response time; location problem; urban emergency systems optimization; Biomedical imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5567364
  • Filename
    5567364