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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-18564
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dc.contributor.authorWüst, Raimond-
dc.contributor.authorGomez, Claudio-
dc.contributor.authorEss, Severin-
dc.contributor.authorSteiner, Albert-
dc.contributor.authorBütikofer, Stephan-
dc.date.accessioned2019-10-23T14:28:25Z-
dc.date.available2019-10-23T14:28:25Z-
dc.date.issued2018-10-08-
dc.identifier.urihttps://imp-sbb-lab.unisg.ch/de/forschungsfonds-sbb-engde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18564-
dc.description.abstractWithin the next 5 to 10 years, public transport in Switzerland as well as in other European countries will experience major technological and organisational changes. However, changes will also take place on the customer side, resulting in different mobility behaviour and demand patterns. These changes will lead to additional challenges for transport service providers in private as well as public domains. Time to market will be a key success factor and it is unnecessary to mention that due to these factors the speed and flexibility of business processes in freight as well as in passenger transport industry have to be increased significantly. Within the railway value chain (line planning, timetabling and vehicle scheduling etc.) the coordination of the individual planning steps is a key success factor. SBB as the leading service provider in public transport in Switzerland has recognized this challenge and, together with various partners, initiated the strategic project Smart Rail 4.0. The ZHAW and especially the Institute for Data Analysis and Process Design (IDP) of the School of Engineering wants to be part of this transformation process and to contribute with research and educational activities. The IDP research therefore aims for the transformation of academic and scientific know-how to practical applicability. In a first step this concerns directly the current Smart Rail 4.0 TMS-PAS project activities, that concentrate on timetabling issues. The IDP project team considers the integration of the line planning and the timetabling process as crucial for practical applications. To address this in the current research project, we present an application concept that enables the integration of these two major process steps in the transport service value-chain. Although it turns out from our research, that the technical requirements for the integration of the process can be satisfied, rules and conditions for a closer cooperation of the involved business units, the train operating companies and the infrastructure operating company, have to be improved and to be worked out in more detail. In addition to a detailed application concept with use cases for the timetabling process we propose a methodology for computer aided timetable generation based on the central planning object known as ‘service intention’. The service intention can be used to iteratively develop the timetable relying on a ‘progressive feasibility assessment’, a feature that is requested in practice. Our proposed model is based on the ‘track-choice’ and line rotation extension of the commonly known method for the generation of periodic event schedules ‘PESP’. The extension makes use of the track infrastructure representation which is also used in the line planning and timetabling system Viriato. This system that is widely used by public transport planners and operators. With the help of Viriato, it is rather easy to configure the timetabling problem in sufficient detail. On the other side, the level of detail of the considered data is light enough to algorithmically solve practical timetabling problems of realistic sizes. Taking into consideration the technical and operational constraints given by rolling stock, station and track topology data on one hand, and the commercial requirements defined by a given line concept on the other, the method presented generates periodic timetables including train-track assignments. In the first step, the standardized data structure ‘service intention’ represents the line concept consisting of train paths and frequencies. Due to the utilization of infrastructure-based track capacities, we are also able to assess the feasibility of the line concept given. Additionally, the method allows for handling temporary resource restrictions (e.g. caused by construction sites or operational disturbances). In order to assess the performance of the resulting timetable we present a framework for performance measurement that addresses the customer convenience (in terms of start-to-end travel time) as well as operational stability requirements (in terms of delay sensitivity and critical relations).de_CH
dc.format.extent85de_CH
dc.language.isoende_CH
dc.publisherSBB Forschungsfonds HSGde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectEisenbahn Fahrplan-Planungde_CH
dc.subjectFahrplan-Stabilitätsbeurteilungde_CH
dc.subjectService Intentionde_CH
dc.subjectSmartRail 4.0de_CH
dc.subjectBaustellenplanungde_CH
dc.subjectMesoskopisches Modellde_CH
dc.subjectTrack Choice FPESPde_CH
dc.subject.ddc380: Verkehrde_CH
dc.titleDevelopment of a prototype for the automated generation of timetable scenarios specified by the transport service intentionde_CH
dc.typeWorking Paper – Gutachten – Studiede_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.publisher.placeSt. Gallende_CH
dc.identifier.doi10.21256/zhaw-18564-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.webfeedSimulation and Optimizationde_CH
zhaw.webfeedDigital Mobilityde_CH
zhaw.funding.zhawSBB-Forschungsfonds 'Automatisierte Fahrplanplanung'de_CH
zhaw.author.additionalNode_CH
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Wüst, R., Gomez, C., Ess, S., Steiner, A., & Bütikofer, S. (2018). Development of a prototype for the automated generation of timetable scenarios specified by the transport service intention. SBB Forschungsfonds HSG. https://doi.org/10.21256/zhaw-18564
Wüst, R. et al. (2018) Development of a prototype for the automated generation of timetable scenarios specified by the transport service intention. St. Gallen: SBB Forschungsfonds HSG. Available at: https://doi.org/10.21256/zhaw-18564.
R. Wüst, C. Gomez, S. Ess, A. Steiner, and S. Bütikofer, “Development of a prototype for the automated generation of timetable scenarios specified by the transport service intention,” SBB Forschungsfonds HSG, St. Gallen, Oct. 2018. doi: 10.21256/zhaw-18564.
WÜST, Raimond, Claudio GOMEZ, Severin ESS, Albert STEINER und Stephan BÜTIKOFER, 2018. Development of a prototype for the automated generation of timetable scenarios specified by the transport service intention [online]. St. Gallen: SBB Forschungsfonds HSG. Verfügbar unter: https://imp-sbb-lab.unisg.ch/de/forschungsfonds-sbb-eng
Wüst, Raimond, Claudio Gomez, Severin Ess, Albert Steiner, and Stephan Bütikofer. 2018. “Development of a Prototype for the Automated Generation of Timetable Scenarios Specified by the Transport Service Intention.” St. Gallen: SBB Forschungsfonds HSG. https://doi.org/10.21256/zhaw-18564.
Wüst, Raimond, et al. Development of a Prototype for the Automated Generation of Timetable Scenarios Specified by the Transport Service Intention. SBB Forschungsfonds HSG, 8 Oct. 2018, https://doi.org/10.21256/zhaw-18564.


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