Modeling of railway events using fuzzy clustering and neural network

چکیده مقاله

Occurrences of events and accidents in railways are inevitable today and effective factors in these events are atmospheric and stochastic agents. These agents can be predicted to avoid these events and take appropriate measures to reduce their occurrences. Therefore, it is required to make an immunization in entire railway network to reduce number of accidents. Exact analysis of the accidents and the causes is the most important actions of the immunization. Using FCM algorithm as a clustering tool in data mining techniques, the accidents have been classified in different clusters based on similarity in behavior. Finally, model of railway accident has been modeled by neural network. The clusters are analyzed based on type of the events. The results of this study can be used to provide safety in the rail network.

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