Educational application of artificial intelligence for diagnosing the state of railway tracks

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dc.citation.epage476
dc.citation.issue2
dc.citation.rankM24
dc.citation.spage467
dc.citation.volume12
dc.contributor.authorDubljanin, Dobrivoje
dc.contributor.authorMarković, Filip
dc.contributor.authorDimić, Gabriela
dc.contributor.authorVučković, Dragan
dc.contributor.authorPetković, Martina
dc.contributor.authorMosurović, Lazar
dc.date.accessioned2024-12-10T08:44:33Z
dc.date.available2024-12-10T08:44:33Z
dc.date.issued2024
dc.description.abstractThe 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.
dc.identifier.doi10.23947/2334-8496-2024-12-2-467-476
dc.identifier.issn2334-847X
dc.identifier.issn2334-8496
dc.identifier.urihttps://repozitorijum.tfbor.bg.ac.rs/handle/123456789/5905
dc.language.isoen
dc.publisherThe Association for the Development of Science, Engineering and Education, Vranje
dc.rights.licenseCC-BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceInternational Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)
dc.subjecthardware
dc.subjectartificial intelligence
dc.subjectintelligent measurement system
dc.subjectMMC/SD cards
dc.subjecteducational processes
dc.subjectsensors
dc.subjectsecurity
dc.titleEducational application of artificial intelligence for diagnosing the state of railway tracks
dc.typearticle
dc.type.versionpublishedVersion

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