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

Lorenzo De Donato; Ruifan Tang; Nikola Besĭnović; Francesco Flammini; Rob M.P. Goverde; Zhiyuan Lin; Ronghui Liu; Stefano Marrone; Elena Napoletano; null More Authors

doi:10.4337/9781803929545.00017

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

Lorenzo De Donato^*, Ruifan Tang, Nikola Besĭnović, Francesco Flammini, Rob M.P. Goverde, Zhiyuan Lin, Ronghui Liu, Stefano Marrone, Elena Napoletano, More Authors

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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.

Original language	English
Title of host publication	Handbook on Artificial Intelligence and Transport
Editors	Hussein Dia
Publisher	Edward Elgar Publishing
Chapter	9
Pages	249-283
Number of pages	35
ISBN (Electronic)	9781803929545
ISBN (Print)	9781803929538
DOIs	https://doi.org/10.4337/9781803929545.00017
Publication status	Published - 2023

Keywords

Machine learning
Transfer learning
Safety
Standards
Trustworthy

Access to Document

10.4337/9781803929545.00017

Cite this

De Donato, L., Tang, R., Besĭnović, N., Flammini, F., Goverde, R. M. P., Lin, Z., Liu, R., Marrone, S., Napoletano, E., & More Authors (2023). Artificial intelligence in railways: Current applications, challenges, and ongoing research. In H. Dia (Ed.), Handbook on Artificial Intelligence and Transport (pp. 249-283). Edward Elgar Publishing. https://doi.org/10.4337/9781803929545.00017

@inbook{507e578ca73f4bafa244d9625f95cabb,

title = "Artificial intelligence in railways: Current applications, challenges, and ongoing research",

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.",

keywords = "Machine learning, Transfer learning, Safety, Standards, Trustworthy",

author = "{De Donato}, Lorenzo and Ruifan Tang and Nikola Besĭnovi{\'c} and Francesco Flammini and Goverde, {Rob M.P.} and Zhiyuan Lin and Ronghui Liu and Stefano Marrone and Elena Napoletano and {More Authors}",

year = "2023",

doi = "10.4337/9781803929545.00017",

language = "English",

isbn = "9781803929538",

pages = "249--283",

editor = "Hussein Dia",

booktitle = "Handbook on Artificial Intelligence and Transport",

publisher = "Edward Elgar Publishing",

}

De Donato, L, Tang, R, Besĭnović, N, Flammini, F, Goverde, RMP, Lin, Z, Liu, R, Marrone, S, Napoletano, E & More Authors 2023, Artificial intelligence in railways: Current applications, challenges, and ongoing research. in H Dia (ed.), Handbook on Artificial Intelligence and Transport. Edward Elgar Publishing, pp. 249-283. https://doi.org/10.4337/9781803929545.00017

Artificial intelligence in railways: Current applications, challenges, and ongoing research. / De Donato, Lorenzo; Tang, Ruifan; Besĭnović, Nikola et al.
Handbook on Artificial Intelligence and Transport. ed. / Hussein Dia. Edward Elgar Publishing, 2023. p. 249-283.

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

TY - CHAP

T1 - Artificial intelligence in railways

T2 - Current applications, challenges, and ongoing research

AU - De Donato, Lorenzo

AU - Tang, Ruifan

AU - Besĭnović, Nikola

AU - Flammini, Francesco

AU - Goverde, Rob M.P.

AU - Lin, Zhiyuan

AU - Liu, Ronghui

AU - Marrone, Stefano

AU - Napoletano, Elena

AU - More Authors, null

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Machine learning

KW - Transfer learning

KW - Safety

KW - Standards

KW - Trustworthy

UR - http://www.scopus.com/inward/record.url?scp=85178989533&partnerID=8YFLogxK

U2 - 10.4337/9781803929545.00017

DO - 10.4337/9781803929545.00017

M3 - Chapter

AN - SCOPUS:85178989533

SN - 9781803929538

SP - 249

EP - 283

BT - Handbook on Artificial Intelligence and Transport

A2 - Dia, Hussein

PB - Edward Elgar Publishing

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this