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Simulating the Punctuality Impacts of Early Freight Train Departures
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning. KTH, School of Engineering Sciences (SCI), Centres, The KTH Railway Group.ORCID iD: 0000-0003-2654-8173
KTH, School of Engineering Sciences (SCI), Centres, The KTH Railway Group. KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.ORCID iD: 0000-0003-2023-0164
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning. KTH, School of Engineering Sciences (SCI), Centres, The KTH Railway Group. Lund University, Faculty of Engineering.ORCID iD: 0000-0002-3906-1033
2022 (English)In: Proceedings of The 13th World Congress on Railway Research (WCRR), 2022Conference paper, Published paper (Refereed)
Abstract [en]

Railway traffic usually adheres to a timetable, but in Sweden, around two-thirds of the freight trains depart before they are scheduled, often by hours. Even though they occur in real operations, early departures have rarely been included in simulation studies and the effects on punctuality are not fully investigated. With a macroscopic simulation tool such as PROTON, large networks can be simulated in a short time, which makes the simulation process easier. This paper uses the tool PROTON to perform a macroscopic simulation case study on the Swedish Western mainline to investigate how early departures of freight trains affect punctuality. The resulting output is a marginal overall punctuality improvement of about +0.5 percentage points. In addition, different levels of primary run time and dwell time delays have been used as simulation input, based on empirical data. The resulting ratio between primary and secondary delays appears to vary greatly between different train types, but overall about 30% were primary and 70% secondary. Future work includes modelling and calibration of departure deviations, which vary more between different train types, and where it is more difficult to separate between primary and secondary delays. Separating distributions based on train type or location will also be considered.

Place, publisher, year, edition, pages
2022.
Keywords [en]
railway traffic, freight trains, macroscopic simulation, early departures, delays
National Category
Transport Systems and Logistics
Research subject
Transport Science, Transport Systems
Identifiers
URN: urn:nbn:se:kth:diva-323368OAI: oai:DiVA.org:kth-323368DiVA, id: diva2:1731488
Conference
The 13th World Congress on Railway Research (WCRR), Birmingham, UK, 6-10 June 2022
Projects
Punctual Metropolitan Railways 2
Note

QC 20230130

Available from: 2023-01-27 Created: 2023-01-27 Last updated: 2024-03-18Bibliographically approved

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Johansson, IngridSipilä, HansPalmqvist, Carl-William

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Total: 206 hits
CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • Other locale
More languages
Output format
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  • asciidoc
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