Tang, R, De Donato, L, Bes̆inović, N et al. (7 more authors) (2022) A literature review of Artificial Intelligence applications in railway systems. Transportation Research Part C: Emerging Technologies, 140. 103679. ISSN 0968-090X
Abstract
Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a large number of domains, including railways. In this paper, we present a systematic literature review of the current state-of-the-art of AI in railway transport. In particular, we analysed and discussed papers from a holistic railway perspective, covering sub-domains such as maintenance and inspection, planning and management, safety and security, autonomous driving and control, revenue management, transport policy, and passenger mobility. This review makes an initial step towards shaping the role of AI in future railways and provides a summary of the current focuses of AI research connected to rail transport. We reviewed about 139 scientific papers covering the period from 2010 to December 2020. We found that the major research efforts have been put in AI for rail maintenance and inspection, while very limited or no research has been found on AI for rail transport policy and revenue management. The remaining sub-domains received mild to moderate attention. AI applications are promising and tend to act as a game-changer in tackling multiple railway challenges. However, at the moment, AI research in railways is still mostly at its early stages. Future research can be expected towards developing advanced combined AI applications (e.g. with optimization), using AI in decision making, dealing with uncertainty and tackling newly rising cybersecurity challenges.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Artificial Intelligence; Railways; Transportation; Machine Learning; Autonomous driving; Maintenance; Smart mobility; Train control; Traffic management |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Funding Information: | Funder Grant number Rail Safety & Standards Board Not Known EU - European Union 881782 |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Apr 2022 11:52 |
Last Modified: | 25 Jun 2023 22:57 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trc.2022.103679 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185584 |