Educational Application of Artificial Intelligence for Diagnosing the State of Railway Tracks
DOI:
https://doi.org/10.23947/2334-8496-2024-12-2-467-476Keywords:
hardware, artificial intelligence, intelligent measurement system, MMC/SD cards, educational processes, sensors, securityAbstract
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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Copyright (c) 2024 Dobrivoje Dubljanin, Filip Marković, Gabriela Dimić, Dragan Vučković, Martina Petković, Lazar Mosurović
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Accepted 2024-08-10
Published 2024-08-31