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Improving Train Service Reliability by Applying an Effective Timetable Robsutness Strategy
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0003-3175-7869
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0001-6880-8549
2017 (engelsk)Inngår i: Journal of Intelligent Transportation Systems / Taylor & Francis, ISSN 1547-2450, E-ISSN 1547-2442, Vol. 21, nr 6, s. 525-543Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

To avoid propagation of delays in dense railway timetables, it is important to ensure robustness. One strategy to improve robustness is to provide adequate amount of buffer times between trains. This study concerns how “scheduled minimum headways” should be determined in order to improve robustness in timetables. Scheduled minimum headways include technical minimum headway plus some buffer time. We propose a strategy to be implemented in timetables at the final stages of planning and prior to the operations.  The main contributions of this study are 1) to propose a strategy where the size of the scheduled minimum headways is dependent on trains' travel times instead of a fixed-sized time slot and it is called “travel time dependent scheduled minimum headways” or TTDSMH, 2) to evaluate the effects of the new strategy on heterogeneity, speed, and the number of trains in timetables, 3) to show that a simple strategy can improve robustness without imposing major changes in timetables. The strategy is implemented in an Mixed Integer Linear Programming framework for timetabling and tested for some problem instances from Sweden. Results show that TTDSMH can improve robustness. The proposed strategy can be applied in intelligent transportation tools for railway timetabling.

sted, utgiver, år, opplag, sider
Taylor & Francis, 2017. Vol. 21, nr 6, s. 525-543
Emneord [en]
Headways, Operations research, Railroads, Reliability, Timetables
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-142793DOI: 10.1080/15472450.2017.1326114ISI: 000423521600008Scopus ID: 2-s2.0-85020255373OAI: oai:DiVA.org:liu-142793DiVA, id: diva2:1154739
Prosjekter
RTJ+
Forskningsfinansiär
Swedish Transport AdministrationVINNOVA
Merknad

Funding agnecies: Trafikverket (The Swedish Transport Administration); VINNOVA (The Swedish Governmental Agency for Innovation Systems); SJ AB (a Swedish state-owned operator)

Tilgjengelig fra: 2017-11-03 Laget: 2017-11-03 Sist oppdatert: 2018-08-23bibliografisk kontrollert

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