• DocumentCode
    2542132
  • Title

    The route choice problem based on interval type-2 fuzzy logic inference

  • Author

    Bi Yunrui ; Lu Xiaobo ; Sun Zhe

  • Author_Institution
    Sch. of Autom., Southeast Univ., Nanjing, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    477
  • Lastpage
    481
  • Abstract
    Drivers´ route choice problem is important to Advanced Traveler Information Systems (ATIS) whose purpose is to solve the traffic congestion problem. In this paper, we discuss the route choice problem and introduce Interval Type-2 Fuzzy Logic Theory. And a method based on the Interval Type-2 Fuzzy Logic Systems (IT2FLSs) is proposed to deal with the route choice problem. This method can handle the imprecision, uncertainties and vagueness lying in the dynamic choice process more efficiently.
  • Keywords
    fuzzy logic; fuzzy reasoning; fuzzy set theory; fuzzy systems; road traffic; ATIS; IT2FLS; advanced traveler information systems; interval type-2 fuzzy logic inference; interval type-2 fuzzy logic systems; interval type-2 fuzzy logic theory; route choice problem; traffic congestion problem; Analytical models; Fuzzy logic; Fuzzy sets; Fuzzy systems; Real time systems; Uncertainty; Vehicles; Gauss membership function; Interval Type-2 Fuzzy sets; route choice problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6233781
  • Filename
    6233781