• DocumentCode
    1793662
  • Title

    Fuzzy traffic congestion model based on speed and density of vehicle

  • Author

    Widyantoro, Dwi H. ; Enjat Munajat, M.D.

  • Author_Institution
    Sch. of Electr. Eng. & Inf., Inst. of Technol. Bandung Bandung, Bandung, Indonesia
  • fYear
    2014
  • fDate
    20-21 Aug. 2014
  • Firstpage
    321
  • Lastpage
    325
  • Abstract
    The purpose of this paper is to describe a new approach of detecting traffic jam in the city. Unlike prior works that demonstrate traffic jam through vehicle detection only, this paper attempts to introduce a new fuzzy-based method for modeling traffic congestion levels that consider both the road occupancy levels as well as vehicle movement. Our model has an advantage of describing the traffic condition more precisely. We have performed a simulation of the proposed model using Matlab Fuzzy Toolbox and the preliminary results reveal that the proposed model is promising.
  • Keywords
    mathematics computing; object detection; road traffic; traffic engineering computing; Matlab fuzzy toolbox; road occupancy levels; traffic condition; traffic congestion levels; traffic jam; vehicle density; vehicle detection; vehicle movement; vehicle speed; Cameras; Global Positioning System; Informatics; Mathematical model; Real-time systems; Roads; Vehicles; FuzzyTraffic Congestion Model; Road Occupancy; Vehicle Movement Measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Informatics: Concept, Theory and Application (ICAICTA), 2014 International Conference of
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4799-6984-5
  • Type

    conf

  • DOI
    10.1109/ICAICTA.2014.7005962
  • Filename
    7005962