International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)

IJCRSEE Editorial Team; Dobrivoje Dubljanin; Filip Marković; Gabriela Dimić; Dragan Vučković; Martina Petković; Lazar Mosurović

doi:10.23947/2334-8496-2024-12-2-467-476

Authors

Dobrivoje Dubljanin Tehcnical Faculty in Bor, University of Belgrade, Republic of Serbia https://orcid.org/0009-0001-3210-9786
Filip Marković Faculty of Technical Sciences, University of Priština in Kosovska Mitrovica, Republic of Serbia https://orcid.org/0000-0001-6053-8011
Gabriela Dimić Academy of Technical and Art Applied Studies, Belgrade, Serbia https://orcid.org/0000-0001-6053-8011
Dragan Vučković Alfa BK University, Faculty of information technologies, Belgrade, Republic of Serbia https://orcid.org/0000-0001-6053-8011
Martina Petković Academy of Applied Studies of Kosovo and Metohija, Department Zvečan, Republic of Serbia https://orcid.org/0000-0001-6053-8011
Lazar Mosurović Director of the Serbian Railways Directorate, Belgrade, Republic of Serbia https://orcid.org/0000-0001-6053-8011

DOI:

https://doi.org/10.23947/2334-8496-2024-12-2-467-476

Keywords:

hardware, artificial intelligence, intelligent measurement system, MMC/SD cards, educational processes, sensors, security

Abstract

The aim of the work is to present an innovative solution based on artificial intelligence for examining the condition of railway tracks in real time. The system, based on fuzzy logic and metaheuristics such as Fuzzy Logic, Neural Networks and Bee Behavior Optimization, combines hardware and software to provide reliable data on the technical characteristics of the railway. Installed in rail vehicles, hardware collects this data, while software uses artificial intelligence to improve operational reliability and safety. The aforementioned technology is not only useful for infrastructure diagnostics, but also for urban railways such as trams and metros, ensuring a high level of passenger safety. The introduction of artificial intelligence in the railway sector is a key step towards modernisation, improving efficiency, resource optimization and safety. Although still in its infancy, artificial intelligence already shows great potential in transforming the railway sector towards a more efficient, reliable and sustainable future.

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