• DocumentCode
    2457052
  • Title

    Data mining opportunities in geosocial networks for improving road safety

  • Author

    Fire, Michael ; Kagan, Dima ; Puzis, Rami ; Rokach, Lior ; Elovici, Yuval

  • Author_Institution
    Inf. Syst. Eng. Dept., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    2012
  • fDate
    14-17 Nov. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Traffic measurements, road safety studies, and surveys are required for efficient road planning and ensuring the safety of transportation. Unfortunately, these methods can be cumbersome and very expensive. In this paper we point out a source of transportation information that is based on collaborative community-based navigation applications, such as Waze. Partial and anonimized information publicly exposed by Waze through their application provides valuable information that can significantly ease the future of transportation studies. Moreover, we show that Waze user reports may expose locations plagued with accidents but in lacking police coverage. This knowledge may help police departments to improve road safety by relocating the police units to these locations. Lastly, the data discussed in this paper connects transportation and road safety research to location based services and social network platforms.
  • Keywords
    data mining; geographic information systems; road safety; road traffic; social networking (online); traffic engineering computing; Waze collaborative community-based navigation applications; data mining opportunity; geosocial networks; location based services; road planning; road safety; social network platforms; traffic measurements; transportation information source; transportation safety; Accidents; Google; Monitoring; Road safety; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4673-4682-5
  • Type

    conf

  • DOI
    10.1109/EEEI.2012.6377049
  • Filename
    6377049