• DocumentCode
    2158691
  • Title

    Link delay estimation using fuzzy logic

  • Author

    Tamimi, Sabah ; Zahoor, Muhammad

  • Author_Institution
    Coll. of Comput., Al Ghurair Univ., Dubai, United Arab Emirates
  • Volume
    2
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    406
  • Lastpage
    411
  • Abstract
    Traffic congestion poses a major problem not only in developing countries but also in developed countries due to various reasons. When subjected to traffic congestion, the travelers are likely to face delays both at intersections (road junctions) and on road links. Delays can occur due to some technical factors (traffic volume, traffic light cycle) and non-technical factors (road conditions, weather and visibility). An estimate on the level of traffic delay can be helpful in providing information to travelers for effective route selection. There are many publications on estimating traffic delays, but these are mainly based on mathematical models. Fuzzy logic has proved to be an important approach to model both technical non technical factors. This paper presents a fuzzy approach to delay estimation on road links.
  • Keywords
    fuzzy logic; mathematical analysis; road traffic; developed countries; developing countries; fuzzy logic; mathematical models; nontechnical factors; road link delay estimation; route selection; technical factors; traffic congestion; Delay effects; Delay estimation; Detectors; Educational institutions; Fuzzy logic; Humans; Mathematical model; Roads; Traffic control; Vehicles; Traffic congestion; fuzzy logic; road link delay estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451575
  • Filename
    5451575