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Artificial intelligence in railways: Current applications, challenges, and ongoing research
Univ Naples Federico II, Italy.
University of Leeds, UK.
Technical University of Dresden, Germany;Delft University of Technology, Netherlands.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Mälardalen University, Sweden.ORCID iD: 0000-0002-2833-7196
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2023 (English)In: Handbook on Artificial Intelligence and Transport / [ed] Hussein Dia, Edward Elgar Publishing, 2023, p. 249-283Chapter in book (Refereed)
Abstract [en]

This chapter presents applications, challenges, and opportunities for the integration of artificial intelligence in rail transport, based on the current results of the European project Roadmaps for AI integration in the rail sector (RAILS). Past and ongoing research directions are briefly outlined, and then the regulatory landscape is presented as well as the main barriers to overcome. Some technical aspects are addressed to provide some valuable references, and a high-level description of ongoing research work is given, spanning from innovative studies on smart maintenance, collision avoidance, delay prediction, and incident attribution analysis to visionary scenarios such as intelligent control and virtual coupling.

Place, publisher, year, edition, pages
Edward Elgar Publishing, 2023. p. 249-283
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-129695DOI: 10.4337/9781803929545.00017Scopus ID: 2-s2.0-85178989533ISBN: 9781803929545 (print)ISBN: 9781803929538 (print)OAI: oai:DiVA.org:lnu-129695DiVA, id: diva2:1862413
Available from: 2024-05-29 Created: 2024-05-29 Last updated: 2024-05-29Bibliographically approved

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Flammini, Francesco

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