Artificial intelligence in railway traffic planning and management Taxonomy, a systematic review of the state-of-the-art of AI, and transferability analysis

Ruifan Tang; Zhiyuan Lin; Ronghui Liu; Rob M.P. Goverde; Nikola Bešinović

doi:10.4337/9781803929545.00016

Artificial intelligence in railway traffic planning and management Taxonomy, a systematic review of the state-of-the-art of AI, and transferability analysis

Ruifan Tang^*, Zhiyuan Lin, Ronghui Liu, Rob M.P. Goverde, Nikola Bešinović

^*Corresponding author for this work

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

Abstract

In this chapter, applications of artificial intelligence (AI) in railway traffic planning and management (RTPM) are discussed. To begin, a definition of AI is offered with a particular emphasis on its relationship with RTPM. This is followed by a systematic literature review of the state-of-the-art of AI in RTPM covering strategic, tactical, and operational challenges. Next, a transferability analysis is conducted of AI approaches for traffic planning and management from related sectors to railways, specifically from aviation and road transport. The results show that the majority of AI research in RTPM is still in its infancy. Several future research areas that are important to academic and professional communities in AI and RTPM are identified based on reviews and analysis of transferability.

Original language	English
Title of host publication	Handbook on Artificial Intelligence and Transport
Editors	Hussein Dia
Publisher	Edward Elgar Publishing
Chapter	8
Pages	222-248
Number of pages	27
ISBN (Electronic)	9781803929545
ISBN (Print)	9781803929538
DOIs	https://doi.org/10.4337/9781803929545.00016
Publication status	Published - 2023

Keywords

Artificial intelligence
Railway traffic planning and management
Taxonomy
Literature review
Transferability analysis

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10.4337/9781803929545.00016

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Tang, R., Lin, Z., Liu, R., Goverde, R. M. P., & Bešinović, N. (2023). Artificial intelligence in railway traffic planning and management Taxonomy, a systematic review of the state-of-the-art of AI, and transferability analysis. In H. Dia (Ed.), Handbook on Artificial Intelligence and Transport (pp. 222-248). Edward Elgar Publishing. https://doi.org/10.4337/9781803929545.00016

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title = "Artificial intelligence in railway traffic planning and management Taxonomy, a systematic review of the state-of-the-art of AI, and transferability analysis",

abstract = "In this chapter, applications of artificial intelligence (AI) in railway traffic planning and management (RTPM) are discussed. To begin, a definition of AI is offered with a particular emphasis on its relationship with RTPM. This is followed by a systematic literature review of the state-of-the-art of AI in RTPM covering strategic, tactical, and operational challenges. Next, a transferability analysis is conducted of AI approaches for traffic planning and management from related sectors to railways, specifically from aviation and road transport. The results show that the majority of AI research in RTPM is still in its infancy. Several future research areas that are important to academic and professional communities in AI and RTPM are identified based on reviews and analysis of transferability.",

keywords = "Artificial intelligence, Railway traffic planning and management, Taxonomy, Literature review, Transferability analysis",

author = "Ruifan Tang and Zhiyuan Lin and Ronghui Liu and Goverde, {Rob M.P.} and Nikola Be{\v s}inovi{\'c}",

year = "2023",

doi = "10.4337/9781803929545.00016",

language = "English",

isbn = "9781803929538",

pages = "222--248",

editor = "Hussein Dia",

booktitle = "Handbook on Artificial Intelligence and Transport",

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Artificial intelligence in railway traffic planning and management Taxonomy, a systematic review of the state-of-the-art of AI, and transferability analysis. / Tang, Ruifan; Lin, Zhiyuan; Liu, Ronghui et al.
Handbook on Artificial Intelligence and Transport. ed. / Hussein Dia. Edward Elgar Publishing, 2023. p. 222-248.

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

TY - CHAP

T1 - Artificial intelligence in railway traffic planning and management Taxonomy, a systematic review of the state-of-the-art of AI, and transferability analysis

AU - Tang, Ruifan

AU - Lin, Zhiyuan

AU - Liu, Ronghui

AU - Goverde, Rob M.P.

AU - Bešinović, Nikola

PY - 2023

Y1 - 2023

N2 - In this chapter, applications of artificial intelligence (AI) in railway traffic planning and management (RTPM) are discussed. To begin, a definition of AI is offered with a particular emphasis on its relationship with RTPM. This is followed by a systematic literature review of the state-of-the-art of AI in RTPM covering strategic, tactical, and operational challenges. Next, a transferability analysis is conducted of AI approaches for traffic planning and management from related sectors to railways, specifically from aviation and road transport. The results show that the majority of AI research in RTPM is still in its infancy. Several future research areas that are important to academic and professional communities in AI and RTPM are identified based on reviews and analysis of transferability.

AB - In this chapter, applications of artificial intelligence (AI) in railway traffic planning and management (RTPM) are discussed. To begin, a definition of AI is offered with a particular emphasis on its relationship with RTPM. This is followed by a systematic literature review of the state-of-the-art of AI in RTPM covering strategic, tactical, and operational challenges. Next, a transferability analysis is conducted of AI approaches for traffic planning and management from related sectors to railways, specifically from aviation and road transport. The results show that the majority of AI research in RTPM is still in its infancy. Several future research areas that are important to academic and professional communities in AI and RTPM are identified based on reviews and analysis of transferability.

KW - Artificial intelligence

KW - Railway traffic planning and management

KW - Taxonomy

KW - Literature review

KW - Transferability analysis

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SN - 9781803929538

SP - 222

EP - 248

BT - Handbook on Artificial Intelligence and Transport

A2 - Dia, Hussein

PB - Edward Elgar Publishing

ER -

Artificial intelligence in railway traffic planning and management Taxonomy, a systematic review of the state-of-the-art of AI, and transferability analysis

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Keywords

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