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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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DOI:
Digital Object Identifier (open in new tab) 10.53502/RAIL-159639
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Creative Commons: CC-BY open in new tab

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Details

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:
Digital Object Identifier (open in new tab) 10.53502/rail-159639
Sources of funding:
  • Free publication
Verified by:
Gdańsk University of Technology

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