Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/23488

Title: Detecting train reroutings with process mining: A Belgian application
Authors: Janssenswillen, Gert
Depaire, Benoît
Verboven, Sabine
Issue Date: 2018
Citation: EURO Journal on Transportation and Logistics, 7(1), p. 1-24
Abstract: One of the objectives of railway infrastructure managers is to improve the punctuality of their operations while satisfying safety requirements and coping with limited capacity. To fulfil this objective, capacity planning and monitoring have become an absolute necessity. Railway infrastructure managers possess tremendous amounts of data about the railway operations, which are recorded in so-called train describer systems. In this paper, a set of methods is proposed to guide the analysis of capacity usage based on these data. In particular, train connections are categorized according to the severity of train reroutings as well as the diversity of these reroutings. The applied method is able to highlight areas in the railway network, where trains have a higher tendency to diverge from their allocated route. The method is independent from the underlying infrastructure, and can, therefore, be reused effortlessly on new cases. The analysis provides a starting point to improve the planning of capacity usage and can be used to facilitate the communication between capacity planning at one hand and operations on the other hand. At the same time, it presents an illustration on how process mining can be used for analysis of train describer data.
URI: http://hdl.handle.net/1942/23488
DOI: 10.1007/s13676-017-0105-8
ISSN: 2192-4376
Category: A2
Type: Journal Contribution
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
Peer-reviewed author version2.04 MBAdobe PDF
Published version1.5 MBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.