• DocumentCode
    3590976
  • Title

    Fuzzy-Logic base ABS/GPS integration for vehicle navigation system in urban canyons

  • Author

    Banizaman, Hamed ; Torab, Ali

  • Author_Institution
    Islamic Azad Univ., Shiraz, Iran
  • Volume
    2
  • fYear
    2009
  • Firstpage
    880
  • Lastpage
    884
  • Abstract
    GPS based vehicle navigation systems have difficulties in tracking vehicles in urban canyons due to poor satellite availability. ABS (Antilock Brake System) Navigation System consists of self-contained optical encoders mounted on vehicle wheels that can continuously provide accurate short-term positioning information. In this paper, a new concept regarding ABS/GPS integration, based on fuzzy logic is presented. A fuzzy system is used to identify GPS position accuracy based on environment and vehicle dynamic knowledge. The GPS is used as reference during the time it is in a good condition and replaced by ABS positioning system when GPS information is unreliable. The MATLAB simulations manifested an improvement in location precision and the tracking capability in urban canyon conditions.
  • Keywords
    Global Positioning System; braking; fuzzy logic; navigation; traffic information systems; MATLAB simulations; antilock brake system; fuzzy-logic base ABS-GPS integration; urban canyons; vehicle navigation system; Fuzzy systems; Global Positioning System; Intelligent sensors; Mathematical model; Portable computers; Position measurement; Road vehicles; Satellite navigation systems; Vehicle dynamics; Wheels; ABS; GPS; fuzzy system; positioning system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358244
  • Filename
    5358244