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Current state and predicted technological trends in global railway intelligent digital transformation
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Ping Li, Rui Xue, Sai Shao, Yuhao Zhu, Yi Liu
Railway Sciences | 2023, 2(4) : 397 - 412
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Railway Sciences | 2023, 2(4): 397-412
Research paper
Current state and predicted technological trends in global railway intelligent digital transformation
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Ping Li, Rui Xue, Sai Shao, Yuhao Zhu, Yi Liu
Affiliations
  • China Academy of Railway Sciences Corporation Limited, Beijing, China
Published: 2023-11-10 doi: 10.1108/RS-10-2023-0036
Outline
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Purpose

In recent years, railway systems worldwide have faced challenges such as the modernization of engineering projects, efficient management of intelligent digital railway equipment, rapid growth in passenger and freight transport demands, customized transport services and ubiquitous transport safety. The transformation toward intelligent digital transformation in railways has emerged as an effective response to the formidable challenges confronting the railway industry, thereby becoming an inevitable global trend in railway development.

Design/methodology/approach

This paper, therefore, conducts a comprehensive analysis of the current state of global railway intelligent digital transformation, focusing on the characteristics and applications of intelligent digital transformation technology. It summarizes and analyzes relevant technologies and applicable scenarios in the realm of railway intelligent digital transformation, theoretically elucidating the development process of global railway intelligent digital transformation and, in practice, providing guidance and empirical examples for railway intelligence and digital transformation.

Findings

Digital and intelligent technologies follow a wave-like pattern of continuous iterative evolution, progressing from the early stages, to a period of increasing attention and popularity, then to a phase of declining interest, followed by a resurgence and ultimately reaching a mature stage.

Originality/value

The results offer reference and guidance to fully leverage the opportunities presented by the latest wave of the digitalization revolution, accelerate the overall upgrade of the railway industry and promote global collaborative development in railway intelligent digital transformation.

Intelligent railways  /  Global railways  /  Best practices
Ping Li, Rui Xue, Sai Shao, Yuhao Zhu, Yi Liu. Current state and predicted technological trends in global railway intelligent digital transformation[J]. Railway Sciences, 2023 , 2 (4) : 397 -412 . DOI: 10.1108/RS-10-2023-0036
  • the China National Railway Group Science and Technology Research and Development Program(Grant N2022X002)
Year 2023 volume 2 Issue 4
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Article Info
doi: 10.1108/RS-10-2023-0036
  • Receive Date:2023-10-12
  • Online Date:2026-06-11
  • Published:2023-11-10
Article Data
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History
  • Received:2023-10-12
  • Revised:2023-10-15
  • Accepted:2023-10-15
Funding
the China National Railway Group Science and Technology Research and Development Program(Grant N2022X002)
Affiliations
    China Academy of Railway Sciences Corporation Limited, Beijing, China

Corresponding:

Rui Xue can be contacted at:
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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