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

In: Handbook on Artificial Intelligence and Transport

Author

Listed:
  • Lorenzo De Donato
  • Ruifan Tang
  • Nikola BesÃÜinoviƒá
  • Francesco Flammini
  • Rob M.P. Goverde
  • Zhiyuan Lin
  • Ronghui Liu
  • Valeria Vittorini

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.

Suggested Citation

  • Lorenzo De Donato & Ruifan Tang & Nikola BesÃÜinoviƒá & Francesco Flammini & Rob M.P. Goverde & Zhiyuan Lin & Ronghui Liu & Valeria Vittorini, 2023. "Artificial intelligence in railways: current applications, challenges, and ongoing research," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 9, pages 249-283, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:21868_9
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    File URL: https://www.elgaronline.com/doi/10.4337/9781803929545.00017
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