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Algorithm for MCDM in Intelligent Braking Diagnostics System of Railway Transport

In: New State of MCDM in the 21st Century

Author

Listed:
  • Anatoly Levchenkov

    (Riga Technical Universiy)

  • Mikhail Gorobetz

    (Riga Technical Universiy)

  • Leonids Ribickis

    (Riga Technical Universiy)

  • Peteris Balckars

    (Riga Technical Universiy)

Abstract

The purpose of this research is to prevent railway accidents by reducing the human factor. In this paper the algorithm for multiple criteria decision making (MCDM) intelligent agent system of railway transport diagnostics task is proposed. The multiple criteria decision making target function for the rolling stock and railway system control is described by three criteria: the dangerous level of the current state of the system; the comfort level of passengers; the consumption of the energy. Computer simulation of the developed algorithm is used to test its workability. The functional prototype of the train emergency braking device is proposed to stop the train in case of the emergency or dangerous situation to prevent the accident.

Suggested Citation

  • Anatoly Levchenkov & Mikhail Gorobetz & Leonids Ribickis & Peteris Balckars, 2011. "Algorithm for MCDM in Intelligent Braking Diagnostics System of Railway Transport," Lecture Notes in Economics and Mathematical Systems, in: Yong Shi & Shouyang Wang & Gang Kou & Jyrki Wallenius (ed.), New State of MCDM in the 21st Century, chapter 0, pages 143-156, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-19695-9_12
    DOI: 10.1007/978-3-642-19695-9_12
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