Use cases for obstacle detection and track intrusion detection systems in the context of new generation of railway traffic management systems
Author:
Affiliation:
1. School of Engineering, Newcastle University, Newcastle upon Tyne, the UK
2. Faculty of Mechanical Engineering, University of Niš, University of Niš, Niš, Serbia
3. Institute of Automation, University of Bremen, Bremen, Germany
Abstract
Funder
the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme
Publisher
SAGE Publications
Subject
Mechanical Engineering
Link
http://journals.sagepub.com/doi/pdf/10.1177/09544097211041020
Reference23 articles.
1. Lagay R, Adell GM. The autonomous train: a game changer for the railways industry. In: Proceedings of 2018 16th international conference on intelligent transport system telecommunications, ITST 2018: IEEE. 2018, pp. 1–5.
2. Hyde P, Milan B, Milos S, et al. Freight specific use cases for obstacle detection and track intrusion systems. Shift2Rail, 2020.
3. A Review of Online Dynamic Models and Algorithms for Railway Traffic Management
4. Research and development of automatic train operation for railway transportation systems: A survey
5. Integrating train scheduling and delay management in real-time railway traffic control
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