A safety assurance methodology for autonomous trains
In this paper, the authors address the railway safety assurance issues, hampering the conventional railway safety approval process due to the intro duction of autonomy and AI technologies. Concretely, based on the system hierarchy and the railway safety lifecycle, the authors elaborate a methodology for the safety assurance of autonomous train and its operations. The proposed methodology consists of a set of safety processes and activities to be conducted, in parallel to the conventional ones, at three hierarchical system levels; namely: (i) the overall system level (i.e., train); (ii) the AI-based component level (i.e., perception and decision-making components); (iii) and the AI software level (i.e., inference and decision learned algorithm).
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2023 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
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Authors:
- Tonk, Abhimanyu
- Chelouati, Mohammed
- Boussif, Abderraouf
- Beugin, Julie
- Koursi, Miloudi El
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Conference:
- Transport Research Arena Conference (TRA Lisbon 2022)
- Location: Lisbon , Portugal
- Date: 2022-11-14 to 2022-11-17
- Publication Date: 2023
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 3016-3023
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Serial:
- Transportation Research Procedia
- Volume: 72
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Artificial intelligence; Autonomous vehicles; Decision making; Railroad safety; Railroad vehicle operations; Vehicle safety
- Subject Areas: Public Transportation; Railroads; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01909769
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 26 2024 8:51AM