• DocumentCode
    2642271
  • Title

    Fuzzy algorithm for real-time train dispatch and control

  • Author

    Tazoniero, Alexandre ; Gonçalves, Rodrigo ; Gomide, Fernando

  • Author_Institution
    Unicamp-FEEC-DCA, State Univ. of Campinas, Brazil
  • fYear
    2005
  • fDate
    26-28 June 2005
  • Firstpage
    332
  • Lastpage
    336
  • Abstract
    This paper discusses a knowledge based system that uses fuzzy set techniques to plan train circulation in freight railroads. Its purpose is to aid train dispatchers in decision making and traffic control in real time. The system uses decision procedures based on fuzzy rules with the purpose of driving train circulation as closed as possible to reference trajectories. It can easily incorporate operational knowledge and dispatcher experience as a part of the decision making strategy. A major characteristic of the system concerns its ability to provide feasible circulation plans in real time. Incorporation of practical knowledge and real time response are key requirements for control and traffic management in train control rooms.
  • Keywords
    decision making; fuzzy set theory; rail traffic; real-time systems; traffic control; freight railroad; fuzzy rules; fuzzy set theory; knowledge based system; practical knowledge; real time response; real time traffic control; real time train dispatching control; reference trajectory; traffic management; train circulation planning; Automatic control; Communication system traffic control; Control systems; Decision making; Fuzzy control; Fuzzy sets; Fuzzy systems; Knowledge based systems; Switches; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
  • Print_ISBN
    0-7803-9187-X
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2005.1548557
  • Filename
    1548557