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

Mateusz Kalinowski; Paweł Weichbroth

doi:10.53502/rail-159639

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

Abstract

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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Authors (2)

Mateusz Kalinowski
Paweł Weichbroth dr

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Category:

Articles

Type:

artykuły w czasopismach

Published in:

Pojazdy Szynowe pages 20 - 26,
ISSN: 0138-0370

Language:

English

Publication year:

2023

Bibliographic description:

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: