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https://doi.org/10.7906/indecs.16.3.6

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

Gábor Liebmann   ORCID icon orcid.org/0000-0002-0726-862X ; Óbuda University, Doctoral School of Safety and Security Sciences, Budapest, Hungary
László Hanka ; Óbuda University, Doctoral School of Safety and Security Sciences, Budapest, Hungary
György Schuster ; Óbuda University, Doctoral School of Safety and Security Sciences, Budapest, Hungary

Puni tekst: engleski, pdf (537 KB) str. 342-349 preuzimanja: 118* citiraj
APA 6th Edition
Liebmann, G., Hanka, L. i Schuster, G. (2018). Probabilistic Approach and Fuzzy System Based Support of the Railway Stations’ Smart Security System. Interdisciplinary Description of Complex Systems, 16 (3-A), 342-349. https://doi.org/10.7906/indecs.16.3.6
MLA 8th Edition
Liebmann, Gábor, et al. "Probabilistic Approach and Fuzzy System Based Support of the Railway Stations’ Smart Security System." Interdisciplinary Description of Complex Systems, vol. 16, br. 3-A, 2018, str. 342-349. https://doi.org/10.7906/indecs.16.3.6. Citirano 09.12.2019.
Chicago 17th Edition
Liebmann, Gábor, László Hanka i György Schuster. "Probabilistic Approach and Fuzzy System Based Support of the Railway Stations’ Smart Security System." Interdisciplinary Description of Complex Systems 16, br. 3-A (2018): 342-349. https://doi.org/10.7906/indecs.16.3.6
Harvard
Liebmann, G., Hanka, L., i Schuster, G. (2018). 'Probabilistic Approach and Fuzzy System Based Support of the Railway Stations’ Smart Security System', Interdisciplinary Description of Complex Systems, 16(3-A), str. 342-349. https://doi.org/10.7906/indecs.16.3.6
Vancouver
Liebmann G, Hanka L, Schuster G. Probabilistic Approach and Fuzzy System Based Support of the Railway Stations’ Smart Security System. Interdisciplinary Description of Complex Systems [Internet]. 2018 [pristupljeno 09.12.2019.];16(3-A):342-349. https://doi.org/10.7906/indecs.16.3.6
IEEE
G. Liebmann, L. Hanka i G. Schuster, "Probabilistic Approach and Fuzzy System Based Support of the Railway Stations’ Smart Security System", Interdisciplinary Description of Complex Systems, vol.16, br. 3-A, str. 342-349, 2018. [Online]. https://doi.org/10.7906/indecs.16.3.6

Sažetak
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 be done On-Line, too. 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 efficient- and the improvement of the system, too.

Ključne riječi
smart security on railway stations; complex security system; FTA analysis; probabilistic approach

Hrčak ID: 206228

URI
https://hrcak.srce.hr/206228

Posjeta: 187 *