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

Twoje konto

zaloguj

Wyszukiwarka

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.

Cytowania

  • 1

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Autorzy (2)

Cytuj jako

Pełna treść

pobierz publikację
pobrano 33 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

Słowa kluczowe

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 61 razy

Publikacje, które mogą cię zainteresować

Study of railway traffic safety based on the railway track condition monitoring system

2020

Hydrogen fuel cell power supply for hybrid elelectric multiple unit train

2024

Optimization of Train Energy Cooperation Using Scheduled Service Time Reserve

2021

Development of a new generation of unmanned surface and underwater vehicles using the advanced technologies and achievements towards the application of control systems by the artificial intelligence AI.

2023
Meta Tagi