Artificial intelligence in operational applications of railway infrastructure manager
| dc.contributor.author | Šrámek, Přemysl | |
| dc.contributor.author | Široký, Jaromír | |
| dc.contributor.author | Vojtek, Martin | |
| dc.date.accessioned | 2023-12-13T13:49:02Z | |
| dc.date.available | 2023-12-13T13:49:02Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Acta Polytechnica. 2023, vol. 43, no. , p. 106-110. | |
| dc.identifier.issn | 1210-2709 (print) | |
| dc.identifier.issn | 1805-2363 (online) | |
| dc.identifier.uri | http://hdl.handle.net/10467/113057 | |
| dc.description.abstract | The main goal of this article is to present the possibility of using artificial intelligence in operational application of railway infrastructure manager. Railway 4.0 can be controlled fully digitally – operational applications based on the artificial intelligence can optimize the technology of railway traffic control. Thereafter, a wide range of equipment could be controlled by application through a secure interface. | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | |
| dc.publisher | České vysoké učení technické v Praze | cs |
| dc.publisher | Czech Technical University in Prague | en |
| dc.relation.ispartofseries | Acta Polytechnica | |
| dc.relation.uri | https://ojs.cvut.cz/ojs/index.php/APP/article/view/9502 | |
| dc.rights | Creative Commons Attribution 4.0 International License | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.title | Artificial intelligence in operational applications of railway infrastructure manager | |
| dc.type | article | en |
| dc.date.updated | 2023-12-13T13:49:02Z | |
| dc.identifier.doi | 10.14311/APP.2023.43.0106 | |
| dc.rights.access | openAccess | |
| dc.type.status | Peer-reviewed | |
| dc.type.version | publishedVersion |
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