• DocumentCode
    1596203
  • Title

    EXDAFS-an Expert System for Dynamic Allocation of Facilities at Stations

  • Author

    Sinha, Rahul ; Rajput, V.S. ; Asthana, R.G.S.

  • Author_Institution
    Centre for Railway Inf. Syst., New Delhi, India
  • fYear
    1991
  • Firstpage
    419
  • Lastpage
    425
  • Abstract
    EXDAFS is a rule-based system designed to facilitate the allocation of facilities to trains arriving and/or departing from a railway station. EXDAFS develops a static allocation for all trains, referred to as the master berthing chart, based on the train schedules and their berthing requirements. However, the trains get delayed due to unavoidable circumstances causing deviations from the normal schedule, thereby necessitating a dynamic reassignment of the facilities. A technique based on transformational synthesis to control the computational complexity of the reassignment process has been devised and implemented. This requires the problem to be decomposed into subtasks, which can be solved independently and then synthesized into a final solution. The system takes decisions globally in a real-time environment. EXDAFS has an explanation capability which provides a better understanding of its reasoning directions. This, along with a visual capability and interaction through a user-friendly interface, results in increased user acceptance of the system
  • Keywords
    computational complexity; expert systems; explanation; rail traffic; real-time systems; resource allocation; scheduling; user interfaces; EXDAFS; computational complexity; delays; dynamic facilities allocation; dynamic reassignment; explanation capability; global decisions; inherent knowledge; master berthing chart; railway station; real-time environment; reasoning directions; rule-based system; subtasks; train schedules; transformational synthesis; user acceptance; user-friendly interface; visual capability; Artificial intelligence; Delay; Dynamic scheduling; Expert systems; Information systems; Knowledge based systems; Rail transportation; Real time systems; Resource management; Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Applications, 1991. Proceedings., Seventh IEEE Conference on
  • Conference_Location
    Miami Beach, FL
  • Print_ISBN
    0-8186-2135-4
  • Type

    conf

  • DOI
    10.1109/CAIA.1991.120903
  • Filename
    120903