• DocumentCode
    3340655
  • Title

    Identification of black spot on traffic accidents and its spatial association analysis based on geographic information system

  • Author

    Yan Chen ; Chun Liu ; Hangbin Wu ; Weiwei Sun

  • Author_Institution
    Dept. of Surveying & Geo-Inf., Tongji Univ., Shanghai, China
  • Volume
    1
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    143
  • Lastpage
    150
  • Abstract
    In general, the location of traffic accidents is described as an address with text, so they are difficult to display on the map. The paper discusses how to utilize the geocoding technology to make the traffic accidents with spatial information. Based on the spatial relationship between traffic accidents and road network elements, two-way association relationship is defined by spatial relationship computation. Then the paper presents the method which takes potential of reducing accidents as an index to extract the black spots. Finally, in the discussion, the association relationship between black spots and traffic attributes is analyzed to pick up the factors of inducing traffic accidents.
  • Keywords
    data mining; geographic information systems; road accidents; road traffic; traffic information systems; black spot; geocoding technology; geographic information system; road network elements; spatial association analysis; spatial information; spatial relationship computation; traffic accidents; traffic attributes; two-way association relationship; Accidents; Educational institutions; Geographic Information Systems; Loss measurement; Microscopy; Roads; Safety; Association analysis; Black spot; GIS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6021904
  • Filename
    6021904