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Main Authors: van der Knaap, Renate J. H., van Oort, Niels, de Bruyn, Menno, Goverde, Rob M. P.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2509.02052
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author van der Knaap, Renate J. H.
van Oort, Niels
de Bruyn, Menno
Goverde, Rob M. P.
author_facet van der Knaap, Renate J. H.
van Oort, Niels
de Bruyn, Menno
Goverde, Rob M. P.
contents A line plan is an important aspect of the quality of the service provided to railway passengers. Although it is well-known that railway demand is varying throughout the day in volume and structure, the line plan is often still fixed throughout the day. To better match this varying railway demand, we propose a mixed-integer linear programming model for multi-period line planning. This model for railway networks incorporates selection of routes, stopping patterns, frequencies, transfers, and the possibility of asymmetric lines to deal with spatially unbalanced demand. The Epsilon-constraint method is used to determine Pareto optimal solutions. The proposed model and solution method are tested on a case study of part of the Dutch railway network. The results show that allowing for changes to the line plan during the day can reduce the total generalised journey time by up to 4.26%, especially when asymmetric lines are used.
format Preprint
id arxiv_https___arxiv_org_abs_2509_02052
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Multi-period line planning for varying railway passenger demand with asymmetric lines
van der Knaap, Renate J. H.
van Oort, Niels
de Bruyn, Menno
Goverde, Rob M. P.
Optimization and Control
A line plan is an important aspect of the quality of the service provided to railway passengers. Although it is well-known that railway demand is varying throughout the day in volume and structure, the line plan is often still fixed throughout the day. To better match this varying railway demand, we propose a mixed-integer linear programming model for multi-period line planning. This model for railway networks incorporates selection of routes, stopping patterns, frequencies, transfers, and the possibility of asymmetric lines to deal with spatially unbalanced demand. The Epsilon-constraint method is used to determine Pareto optimal solutions. The proposed model and solution method are tested on a case study of part of the Dutch railway network. The results show that allowing for changes to the line plan during the day can reduce the total generalised journey time by up to 4.26%, especially when asymmetric lines are used.
title Multi-period line planning for varying railway passenger demand with asymmetric lines
topic Optimization and Control
url https://arxiv.org/abs/2509.02052