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Journal article

A taxonomy of railway track maintenance planning and scheduling: A review and research trends

From

Luleå University of Technology1

University of Oulu2

Department of Applied Mathematics and Computer Science, Technical University of Denmark3

Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark4

Railway track maintenance and renewal are vital for railway safety, train punctuality, and travel comfort. Therefore, having cost-effective maintenance is critical in managing railway infrastructure assets. There has been a considerable amount of research performed on mathematical and decision support models for improving the application of railway track maintenance planning and scheduling.

This article reviews the literature in decision support models for railway track maintenance planning and scheduling and transforms the results into a problem taxonomy. Furthermore, the article discusses current approaches in optimising maintenance planning and scheduling, research trends, and possible gaps in the related decision-making models.

Language: English
Year: 2021
Pages: 107827
ISSN: 18790836 and 09518320
Types: Journal article
DOI: 10.1016/j.ress.2021.107827
ORCIDs: Kulahci, Murat

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