• DocumentCode
    2463469
  • Title

    An Intelligent Fuzzy Control for Crossroads Traffic Light

  • Author

    Wu, Lurong ; Zhang, Xiaorong ; Shi, Zhikai

  • Author_Institution
    Coll. of Comput. & Inf., Fujian Agric. & Forestry Univ., Fuzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    28
  • Lastpage
    32
  • Abstract
    The fuzzy control algorithm that carries on the intelligent control twelve phases three traffic lanes single crossroads traffic light, works well in the real-time traffic flow under flexible operation. The procedures can be described as below: first, the number of vehicles of all the lanes can be received through the sensor, and the phase with the largest number is stipulated to be highest priority, while the phase turns to the next one from the previous, it transfers into the highest priority. Then the best of the green light delay time can be figured out under the fuzzy rules reasoning on the current waiting formation length and general formation length. The simulation result indicates the fuzzy control method on vehicle delay time compared with the traditional timed control method is greatly improved.
  • Keywords
    fuzzy control; real-time systems; road traffic; road vehicles; crossroads traffic light; fuzzy control algorithm; fuzzy rules reasoning; green light delay time; intelligent control; intelligent fuzzy control; real-time traffic flow; Artificial intelligence; Delay; Fuzzy control; MATLAB; Niobium; Vehicles; crossroads; fuzzy control; simulation; traffic lights; twelve phases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.59
  • Filename
    5709315