Abstract
Modern railway traffic control systems commonly use information and communication technologies. It allows for a significant enhancement in the functionality of these systems. One of the trends in the development of railway traffic control systems is equipping them with automatic diagnostics. This makes it possible not only to improve the reliability of these systems, but also effectively raises the railway traffic safety. The authors discussed the problem of using logical diagnosis, which on the base of the technical knowledge about the diagnosed systems, allows to detect faults in railway traffic control systems. In order to take uncertainty of diagnostic inference into account in the presented methodology Bayesian inference was used. As an example of the diagnosed system, the interface of the level crossing protection system and interlocking system were used.
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