Artificial intelligence in railways

Current applications, challenges, and ongoing research

Book chapter (2023)

Authors

Lorenzo De Donato Università degli Studi di Napoli Federico II
R. Tang Transport and Planning , University of Leeds
Nikola Bešinović Technische Universität Dresden, Transport and Planning - CEG
Francesco Flammini Linnaeus University, Växjö, Mälardalen University
R.M.P. Goverde Transport and Planning - CEG
Zhiyuan Lin University of Leeds
Ronghui Liu University of Leeds
Stefano Marrone Università degli Studi di Napoli Federico II
Elena Napoletano Università degli Studi di Napoli Federico II
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Research Group
Transport and Planning (CEG) (TU Delft)
Safety Machine learning Transfer learning Standards Trustworthy
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Published Date

2023

Language

English

Reuse Rights

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

Abstract

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.