Abstract
Modern train traffic systems have to fulfil high requirements on service reliability and availability. This becomes especially important with competitive transport markets. Train operators can only meet with these requirements by quickly developing an efficient action in case of traffic disturbances. This paper describes a dispatching support system for use in railway operation control systems. This contains expert knowledge in fuzzy rules of the “if-then” type. Various methods have been proposed for the representation of this kind of knowledge and for reasoning on this base. Expert systems can gain significant success by incorporating fuzzy knowledge and a graphical means of description. The paper describes a Fuzzy Petri Net (FPN) notion that combines the graphical power of Petri Nets and the capabilities of Fuzzy Sets to model rule-based expert knowledge in a decision support system. Using this approach, a knowledge base is easy to design, analyze, test, enhance, and maintain. An assistant system for train traffic control is presented, and the advantages of this FPN notion are shown in the context of the application in train traffic control decision support.
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Fay, A., Schnieder, E. (1999). Fuzzy Rule-based Expert System for Real-Time Train Traffic Control. In: Milne, R.W., Macintosh, A.L., Bramer, M. (eds) Applications and Innovations in Expert Systems VI. Springer, London. https://doi.org/10.1007/978-1-4471-0575-6_8
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DOI: https://doi.org/10.1007/978-1-4471-0575-6_8
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