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

Book chapter (2023)

Authors

R. Tang University of Leeds, Transport and Planning
Zhiyuan Lin University of Leeds
Ronghui Liu University of Leeds
R.M.P. Goverde Transport and Planning - CEG
Nikola Bešinović Transport and Planning - CEG , Technische Universität Dresden
Research Group
Transport and Planning (CEG) (TU Delft)
Artificial intelligence Taxonomy Literature review Railway traffic planning and management Transferability analysis
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Published Date

2023

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

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.