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Artificial intelligence in railways : current applications, challenges, and ongoing research

De Donato, Lorenzo (författare)
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
Tang, Ruifan (författare)
Institute for Transport Studies, University of Leeds, Leeds, UK
Bešinović, Nikola (författare)
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
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Flammini, Francesco, Senior Lecturer, 1978- (författare)
Mälardalens universitet,Innovation och produktrealisering,Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden
M.P Goverde, Rob (författare)
Department of Transport and Planning, Delft University of Technology, Delft, the Netherlands
Lin, Zhiyuan (författare)
Institute for Transport Studies, University of Leeds, Leeds, UK
Liu, Ronghui (författare)
Institute for Transport Studies, University of Leeds, Leeds, UK
Marrone, Stefano (författare)
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
Napoletano, Elena (författare)
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
Nardone, Roberto (författare)
Department of Engineering, University of Naples “Parthenope”, Naples, Italy
Santini, Stefania (författare)
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
Vittorini, Valeria (författare)
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
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 (creator_code:org_t)
Edward Elgar Publishing, 2023
2023
Engelska.
Ingår i: Handbook on Artificial Intelligence and Transport. - : Edward Elgar Publishing. - 9781803929538 - 9781803929545 ; , s. 249-283
Relaterad länk:
https://urn.kb.se/re...
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https://doi.org/10.4...
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  • Bokkapitel (refereegranskat)
Abstract Ämnesord
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  • 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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

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