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Artificial intelligence in railways: current applications, challenges, and ongoing research
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.
Institute for Transport Studies, University of Leeds, Leeds, UK.
Faculty of Transport and Traffic Sciences “Friedrich List”, Technical University of Dresden, Dresden, Germany and Department of Transport and Planning, Delft University of Technology, Delft, the Netherlands.
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Department of Computer Science and Media Technology, Linnaeus University, Växjö, 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
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Computer Systems
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URN: urn:nbn:se:mdh:diva-64588DOI: 10.4337/9781803929545.00017Scopus ID: 2-s2.0-85178989533ISBN: 9781803929538 (print)ISBN: 9781803929545 (electronic)OAI: oai:DiVA.org:mdh-64588DiVA, id: diva2:1807368
Available from: 2023-10-26 Created: 2023-10-26 Last updated: 2023-12-20Bibliographically approved

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Flammini, Francesco

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