- Tytuł:
- The sensors-based artificial intelligence Train Control and Monitoring System (TCMS) for managing the railway transport fleet
- Autorzy:
-
Kalinowski, Mateusz
Weichbroth, Paweł - Powiązania:
- https://bibliotekanauki.pl/articles/33343273.pdf
- Data publikacji:
- 2023-11-30
- Wydawca:
- Sieć Badawcza Łukasiewicz - Poznański Instytut Technologiczny
- Tematy:
-
artificial intelligence
railway fleet management
train safety
train monitoring
rail vehicle sensor - Opis:
- 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.
- Źródło:
-
Rail Vehicles/Pojazdy Szynowe; 2023, 1-2; 20-26
0138-0370
2719-9630 - Pojawia się w:
- Rail Vehicles/Pojazdy Szynowe
- Dostawca treści:
- Biblioteka Nauki
Artykuł