A review of principles and methods to decompose large-scale railway scheduling problems


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Date

2023

Publication Type

Journal Article

ETH Bibliography

yes

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Abstract

Providing punctual, reliable and performant services to customers is one main goal of railway network operators. The railway scheduling problem is to determine, ahead of time (timetabling), a plan describing the timing of the operations in a railway network, or updating such plan during operations (rescheduling). By optimization and automation, it is possible to operate more trains on the network, closer to the infrastructure capacity. Especially when the scale and complexity of the scheduling problem is increasing, for large-scale networks and multiple interconnected problems, this is of great value for network operators. When planning or adjusting railway operations becomes increasingly complex, modern scheduling algorithms can bring significant performance and economic benefits. In this survey we review approaches in the state of the art for the problems of railway scheduling. We show how the many different approaches of decomposition proposed in the literature of railway scheduling can be categorized into two general principles. We study different solution methods and identify a list of open topics for dealing with large-scale problems for future research.

Publication status

published

Editor

Book title

Volume

12

Pages / Article No.

100107

Publisher

Elsevier

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Scheduling; Timetabling; Benders; Dantzig–Wolfe; Multi-agent; Hierarchical methods

Organisational unit

09611 - Corman, Francesco / Corman, Francesco check_circle
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG

Notes

This project was supported by the ETH Zürich Foundation.

Funding

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