• DocumentCode
    265853
  • Title

    Spatial data warehouse and geospatial decision making tool for efficient road risk analysis

  • Author

    Derbal, Khalissa ; Ibtissem, Frihi ; Boukhalfa, Kamel ; Alimazighi, Zaia

  • Author_Institution
    LSI Lab., Houari Boumediene Univ. of Sci. & Technol., Algiers, Algeria
  • fYear
    2014
  • fDate
    24-25 March 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Plague of modern times, the phenomenon of the trafic accidents hampers heavily resources of the society. The road mows every year thousands of deaths and tens of thousands wounded. This frightening number of victims requires a study of this phenomenon in order to extract all indicators affecting this problem and allow proposing preventive measures. Most current studies ignore the integration of geographic information including the geographic object “Road” in the analysis of this phenomenon. We present in this work, a geospatial decision making solution based on a spatial data warehouse and a geospatial tool integrating the geographic object “road” as an analysis dimension. Some functionalities of our developed geodecisional tool are described in experiment section.
  • Keywords
    data warehouses; geographic information systems; road safety; traffic engineering computing; visual databases; geographic information systems; geographic object; geospatial decision making tool; road risk analysis; spatial data warehouse; traffic accidents; Accidents; Data warehouses; Decision making; Prototypes; Roads; Spatial databases; Vehicles; cover-age; redeployment; redundancy; scheduling; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies for Disaster Management (ICT-DM), 2014 1st International Conference on
  • Conference_Location
    Algiers
  • Print_ISBN
    978-1-4799-4768-3
  • Type

    conf

  • DOI
    10.1109/ICT-DM.2014.6917788
  • Filename
    6917788