Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-18548
Title: Maintenance timetable planning based on mesoscopic infrastructure and the transport service intention
Authors : Wüst, Raimond Matthias
Bütikofer, Stephan
Ess, Severin
Gomez, Claudio
Steiner, Albert
Laumanns, Marco
Szabo, Jacint
et. al : Yes
Published in : Journal of Rail Transport Planning & Management
Volume(Issue) : 11
Pages : 100146
Publisher / Ed. Institution : Elsevier
Issue Date: 24-Sep-2019
License (according to publishing contract) : CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International
Type of review: Peer review (publication)
Language : English
Subjects : Periodic event scheduling problem; Mesoscopic railway topology; Service intention; Timetabling with track assignment
Subject (DDC) : 380: Communications and transportation
Abstract: Planners of maintenance intervals and operations have a strong need for rapid development and assessment of comprehensive and reliable timetable scenarios, which are able to satisfy the requirements of both, the train operating company and the infrastructure operating company. To address these requirements, in this paper we present a use case that is based on the ‘track-choice and line-rotation’ extension of ‘PESP’, the commonly known model for the generation of periodic event schedules. We call the extended model ‘TCFPESP’. This model takes into account the event flexibility requirement of the ‘service intention’ and makes use of a mesoscopic track infrastructure representation. Both properties support an iterative timetable development process with a ‘progressive feasibility assessment’, a feature that is requested in practice. The ‘service intention’ represents the functional timetable specification. The specification is given by an integrated line concept consisting of a set of lines with data defining their types, frequencies, stop sequence, rotation times and connections. Our proposed model takes functional and operational timetable specifications as input and is applied in an iterative way by changing technical parameters in order to generate a timetable with a feasible capacity allocation. Both, the service intention as well as the mesoscopic infrastructure representation can be configured in the line planning and timetabling system Viriato. This system is widely used by public transport planners and operators. It is therefore possible to configure our timetable model by a standard planning tool. After the description of the methods developed, we provide a practical proof of concept by testing the use case for different maintenance scenarios. Thereby we can show that, based on the service intention planners are able to quickly develop feasible timetable scenarios for maintenance intervals. The use case presented in this paper refers to generating short-term timetable scenarios but can also be used in long-term strategic planning.
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Publication type: Article in scientific journal
DOI : 10.1016/j.jrtpm.2019.100146
10.21256/zhaw-18548
ISSN: 2210-9706
URI: https://digitalcollection.zhaw.ch/handle/11475/18548
Restricted until : 2021-09-24
Published as part of the ZHAW project : SmartRail 4.0
Appears in Collections:Publikationen School of Engineering

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