• DocumentCode
    3134791
  • Title

    A weight-based map matching method in moving objects databases

  • Author

    Yin, Huabei ; Wolfson, Ouri

  • Author_Institution
    Dept. of Comput. Sci., UIC, Chicago, IL, USA
  • fYear
    2004
  • fDate
    21-23 June 2004
  • Firstpage
    437
  • Lastpage
    438
  • Abstract
    In location management, the trajectory represents the motion of a moving object in 3D space-time, i.e., a sequence (x, y, t). Unfortunately, location technologies, cannot guarantee error-freedom. Thus, map matching (a.k.a. snapping), matching a trajectory to the roads on the map, is necessary. We introduce a weight-based map matching method, and experimentally show that, for the offline situation, on average, our algorithm can get up to 94% correctness depending on the GPS sampling interval.
  • Keywords
    Global Positioning System; image matching; spatial data structures; temporal databases; traffic information systems; visual databases; 3D space-time; GPS sampling interval; global positioning system; location management; moving objects databases; object motion; road map; snapping algorithm; vehicle motion; weight-based map matching method; Computer errors; Computer science; Databases; Error correction; Global Positioning System; Road vehicles; Sampling methods; Space technology; Spatiotemporal phenomena; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scientific and Statistical Database Management, 2004. Proceedings. 16th International Conference on
  • ISSN
    1099-3371
  • Print_ISBN
    0-7695-2146-0
  • Type

    conf

  • DOI
    10.1109/SSDM.2004.1311248
  • Filename
    1311248