نبذة مختصرة : S povećanjem broja vlakova proces regulacije željezničkog prometa postaje kompleksniji i povećava radno opterećenje čovjeka u tom procesu što može dovesti do pogrešaka u radu koje rezultiraju kašnjenjem vlakova, poremećajima u prometu te, u nekim slučajevima, ugrožavanjem sigurnosti željezničkog prometa. Kako bi se povećala efikasnost željezničkog sustava i olakšao rad čovjeka razvijaju se sustavi podrške pri regulaciji željezničkog prometa. U ovom radu osmišljen je sustav za pomoć u donošenju odluka u procesu regulacije željezničkog prometa koji se temelji na primjeni umjetne inteligencije. Pri tome razvijen je model sustava neizrazitog zaključivanja koji je testiran na primjeru iz prakse, a rezultati testiranja pokazuju da je sustav funkcionalan. ; As the number of trains increases, the process of railway traffic control becomes more complex and increases the workload of man in the process, which can lead to operational errors that result in train delays, traffic disruptions and, in some cases, endangering railway safety. In order to increase the efficiency of the railway system and facilitate human work, support systems for the regulation of railway traffic are being developed. In this thesis, a decision support system in the process of railway traffic control based on the application of artificial intelligence is designed. In doing so, a model of a fuzzy inference system was developed and tested on a practical example, and the test results show that the system is functional.
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