2024

Dubljanin, Dobrivoje 
Marković, Filip
Dimić, Gabriela
Vučković, Dragan
Petković, Martina
Mosurović, Lazar

The Association for the Development of Science, Engineering and Education, Vranje

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

12

2

467

476

English

M24 - Paper in a national journal of international significance

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.

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

DOI

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

ISSN

2334-847X
2334-8496

URI

https://repozitorijum.tfbor.bg.ac.rs/handle/...