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One of the keystones of the smart city is the transportation. The railway is the crucial part in the main public- and also the goods-transportation today, and the significance will be constantly growing. Nowadays the increase in threats and decrease in the sense of security generates a high need for designing smart and multi-level integrated security systems on the railway stations. The security risk of these territories has risen in the last years, because the public transportation plays an important role in the lives of nowadays people and will grow in the future. That means a rise in incidences of robbery, vandalism and even terrorism. The integration of the conventional systems gives more possibility and reliability for the facility management and the end-users to prevent the aforementioned incidences. The power of the complex (human-electrical-mechanical) system can be usable if in the central monitoring station only qualified and well trained operators work. Because of the difficulty of the multi-level integrated security systems, without suitable and well-trained users and operators the efficiency of the security decrease. Furthermore, the efficiency of the complex system can be lower than the unintegrated conventional realizations, so that's why it is needed to integrate special smart functions. Managing the smart complex security systems on the aforementioned railway stations are difficult due the human factor and the large number of connections and internal processes. However, the recently created and improved probabilistic approach- and fuzzy system can be a useful mathematical solution for the aforementioned cases. These methods can be used in the full scaled security system, if first - like the Fuzzy logic - an expert level analysis gives enough information about the crucial parts of the system. With them comes the possibility to give and get data from the determined system, and continuously recalculate the factors and - in some cases - it can also be done online. It helps to generate and send prompt information to the facility management, and with it can maximize the fully functional operational efficiency and reduce the hazards. This article gives a useful guideline for the facility management of the smart cities' railway stations. It declares the main connections with theirs hazards to find the key elements and the in-, and outbound parameters of the smart complex security system. The generated knowledge base will contain also more additional information about the efficiency and the improvement of the system, too.

Probabilistic Approach and Fuzzy System Based Support of the Railway Stations' Smart Security System