EURO 2024 Copenhagen
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904. An Iterative Framework for Rolling Stock Rescheduling with Railway Infrastructure Availability Constraints

Invited abstract in session MA-54: Disruption management in passenger railways, stream Public Transport Optimization.

Monday, 8:30-10:00
Room: S01 (building: 101)

Authors (first author is the speaker)

1. Jia Hui Zhu
Econometric Institute, Erasmus University Rotterdam
2. Twan Dollevoet
Econometric Institute, Erasmus University of Rotterdam
3. Dennis Huisman
Econometric Institute, Erasmus University

Abstract

Disruptions on the railway network lead to reduced availability of the railway infrastructure. In the face of such disruptions, rolling stock dispatchers are tasked with adjusting the rolling stock schedule. In this paper, we develop a rolling stock rescheduling method which ensures feasibility with respect to the availability of the railway infrastructure. In particular, we explore the option of performing shunting movements at stations where shunting is not allowed in current practice, due to the large number of trains that pass through or due to the complexity of the station layout. We introduce an iterative rolling stock rescheduling algorithm which alternates between two mathematical formulations, namely one that creates an interim rolling stock schedule and one that tries to fit the suggested shunting movements between the remaining railway traffic. We test our solution approach with instances that contain complete railway blockages on the Dutch railway network. We allow for shunting at some of the busiest stations in the country and model the infrastructure of these stations to evaluate the feasibility of the suggested shunting movements. Our algorithm succeeds in adjusting the rolling stock schedule within running times of around a few minutes. We successfully identify feasible shunting movements and therefore improve upon the rolling stock schedule that would otherwise be obtained if performing shunting movements at the considered stations is prohibited.

Keywords

Status: accepted

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