• DocumentCode
    801946
  • Title

    Scalable, Distributed, Real-Time Map Generation

  • Author

    Davics, J.J. ; Beresford, Alastair R. ; Hopper, Andy

  • Author_Institution
    Comput. Lab., Cambridge Univ.
  • Volume
    5
  • Issue
    4
  • fYear
    2006
  • Firstpage
    47
  • Lastpage
    54
  • Abstract
    In this application, many vehicles participate in the collection, processing, and dissemination of data to automatically generate digital road maps. Details about new roads and the modification or closure of existing roads must be incorporated into the databases in a timely fashion. Mapping organizations obtain data about road network changes from various sources, including local authorities and building contractors, but this data tends to be highly inaccurate. To simplify mapmaking process, vehicles could use their computational resources to directly generate accurate map data. We envisage vehicles on the road network forming a wide-scale mobile sensing and computing platform. Toward that goal, we´ve developed an algorithm for keeping digital maps up-to-date, using ordinary vehicles making normal journeys rather than fleets of dedicated probe vehicles. However, further development is required to address several remaining challenges, including the choice of architecture to support the algorithm
  • Keywords
    road vehicles; traffic information systems; computational resource; digital road maps; road network; road vehicle; wide-scale mobile sensing; Databases; Global Positioning System; Histograms; Intelligent transportation systems; Microprocessors; Mobile computing; Navigation; North America; Probes; Road vehicles; algorithm/protocol design and analysis; architectures; distributed applications; distributed systems; mobile computing;
  • fLanguage
    English
  • Journal_Title
    Pervasive Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1268
  • Type

    jour

  • DOI
    10.1109/MPRV.2006.83
  • Filename
    1717365