• DocumentCode
    1942369
  • Title

    907-Plow - Anchorage´s approach to real-time snowplow tracking

  • Author

    Menard, Timothy ; Lund, John ; Miller, Jeffrey ; Petersen, Todd

  • Author_Institution
    Dept. of Electr. & Comput. Syst. Eng., Univ. of Alaska Anchorage, Anchorage, AK, USA
  • fYear
    2012
  • fDate
    16-19 Sept. 2012
  • Firstpage
    1453
  • Lastpage
    1458
  • Abstract
    We present a novel approach to tracking heavy machinery used as snowplows for the improvement of commuter safety. We have developed hardware designed for universal installation in snowplows that relay location and plow position data without human interaction over a cellular network to the real-time traffic simulator FreeSim [1-3]. FreeSim analyzes the data and overlays it onto Google Maps [4] by color-coded lines displaying the time elapsed since the roadway was last plowed. The plow position is determined utilizing magnetic fields between the plow blade and a stationary mount on the snowplow. By publicly displaying this information we aim to educate the end user with the current reported road conditions.
  • Keywords
    cellular radio; magnetic fields; real-time systems; road safety; snow; tracked vehicles; traffic engineering computing; FreeSim; Google Maps; anchorage approach; cellular network; color coded lines; commuter safety; hardware design; heavy machinery tracking; human interaction; magnetic fields; plow blade; plow position data; real-time snowplow tracking; real-time traffic simulator; relay location; road conditions; roadway; universal installation; Blades; Hall effect; Magnetic sensors; Roads; Snow; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4673-3064-0
  • Electronic_ISBN
    2153-0009
  • Type

    conf

  • DOI
    10.1109/ITSC.2012.6338793
  • Filename
    6338793