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The sensors-based artificial intelligence Train Control and Monitoring System (TCMS) for managing the railway transport fleet

Abstrakt

Railways deliver a safe and sustainable form of transport and are typically pointed as one the safest form of transportation. Nevertheless, train accidents still happen, and when they happen, the consequences concern serious fatalities and injuries. Since every case is unique, the most frequent causes of train accidents are mechanical derailments, failures, as well as human errors and ignorance. In order to mitigate the risks posed by both physical and human related factors, various technological advancements have been designed and implemented. Among many existing Train Control and Monitoring Systems (TCMS), one can observe that recently developed artificial intelligence (AI) methods are also considered to be integrated part of the modern TCMS solutions. Following recent AI improvements and trends, in this paper we aim to present and discuss our newly developed TCMS system. In particular, both the system architecture and features are described along with the expected benefits of its implementation.

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pobrano 32 razy
Wersja publikacji
Accepted albo Published Version
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.53502/RAIL-159639
Licencja
Creative Commons: CC-BY otwiera się w nowej karcie

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
Pojazdy Szynowe strony 20 - 26,
ISSN: 0138-0370
Język:
angielski
Rok wydania:
2023
Opis bibliograficzny:
Kalinowski M., Weichbroth P.: The sensors-based artificial intelligence Train Control and Monitoring System (TCMS) for managing the railway transport fleet// Pojazdy Szynowe -,iss. 1-2 (2023), s.20-26
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.53502/rail-159639
Źródła finansowania:
  • Publikacja bezkosztowa
Weryfikacja:
Politechnika Gdańska

wyświetlono 58 razy

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