Educational application of artificial intelligence for diagnosing the state of railway tracks
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Date
2024
Authors
Dubljanin, Dobrivoje
Marković, Filip
Dimić, Gabriela
Vučković, Dragan
Petković, Martina
Mosurović, Lazar
Journal Title
Journal ISSN
Volume Title
Publisher
The Association for the Development of Science, Engineering and Education, Vranje
Source
International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)
Volume
12
Issue
2
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.
Description
Keywords
hardware, artificial intelligence, intelligent measurement system, MMC/SD cards, educational processes, sensors, security
Citation
DOI
10.23947/2334-8496-2024-12-2-467-476
Scopus
ISSN
2334-847X
2334-8496
2334-8496
ISBN
License
CC-BY