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Microscopic and macroscopic simulation of early freight train departures

Johansson, Ingrid ; Palmqvist, Carl William LU orcid ; Sipilä, Hans ; Warg, Jennifer and Bohlin, Markus (2022) In Journal of Rail Transport Planning and Management 21.
Abstract

In Sweden and other countries it is not an uncommon practice that freight trains depart more or less on-demand instead of strictly following a pre-planned timetable. However, the systematic effects of freight trains departing late or (in particular) early has long been a contested issue. Although some microscopic simulation tools currently have the capability to evaluate the effect of freight trains departing before schedule, it has yet not been established how macroscopic simulation tools, capable of fast simulation of nation-wide networks, can manage such tasks. This paper uses a case study on a line between two large freight yards in Sweden to investigate how the results of microscopic and macroscopic simulation, represented by two... (More)

In Sweden and other countries it is not an uncommon practice that freight trains depart more or less on-demand instead of strictly following a pre-planned timetable. However, the systematic effects of freight trains departing late or (in particular) early has long been a contested issue. Although some microscopic simulation tools currently have the capability to evaluate the effect of freight trains departing before schedule, it has yet not been established how macroscopic simulation tools, capable of fast simulation of nation-wide networks, can manage such tasks. This paper uses a case study on a line between two large freight yards in Sweden to investigate how the results of microscopic and macroscopic simulation, represented by two modern simulation tools, differ when it comes to this particular problem. The main findings are that both the microscopic and the macroscopic tools replicated the empirical punctuality fairly well. Furthermore, allowing early departures of freight trains increased overall freight train punctuality while the passenger train punctuality decreased slightly, as determined by both tools. The results are encouraging, but further studies are needed to determine if macroscopic simulation is on-par with microscopic simulation.

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; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Early departures, Freight trains, Macroscopic, Microscopic, Railway, Simulation
in
Journal of Rail Transport Planning and Management
volume
21
article number
100295
pages
14 pages
publisher
Elsevier
external identifiers
  • scopus:85124169483
ISSN
2210-9706
DOI
10.1016/j.jrtpm.2022.100295
project
Mindre Störningar i Tågtrafiken, del 2
language
English
LU publication?
yes
additional info
Funding Information: This project has received funding from the Shift2Rail Joint Undertaking under the European Union's Horizon 2020 research and innovation programme with grant agreement no 826151. The authors would like to thank P?r Johansson, Emma Solinen, Emma Dyrssen and Magnus Wahlborg at the Swedish Transport Administration for discussions and input during the design and implementation of the study, and for providing access to PROTON as well as empirical delay data. We also thank Markus Zinser for explaining PROTON functionality and Oskar Fr?idh for general discussions and expert knowledge of the Swedish railway system. Funding Information: This project has received funding from the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme with grant agreement no . The authors would like to thank Pär Johansson, Emma Solinen, Emma Dyrssen and Magnus Wahlborg at the Swedish Transport Administration for discussions and input during the design and implementation of the study, and for providing access to PROTON as well as empirical delay data. We also thank Markus Zinser for explaining PROTON functionality and Oskar Fröidh for general discussions and expert knowledge of the Swedish railway system. Publisher Copyright: © 2022 The Author(s)
id
fab6b645-3e37-4d38-8a86-eedc351e72a2
date added to LUP
2022-02-14 09:43:26
date last changed
2023-11-21 02:56:14
@article{fab6b645-3e37-4d38-8a86-eedc351e72a2,
  abstract     = {{<p>In Sweden and other countries it is not an uncommon practice that freight trains depart more or less on-demand instead of strictly following a pre-planned timetable. However, the systematic effects of freight trains departing late or (in particular) early has long been a contested issue. Although some microscopic simulation tools currently have the capability to evaluate the effect of freight trains departing before schedule, it has yet not been established how macroscopic simulation tools, capable of fast simulation of nation-wide networks, can manage such tasks. This paper uses a case study on a line between two large freight yards in Sweden to investigate how the results of microscopic and macroscopic simulation, represented by two modern simulation tools, differ when it comes to this particular problem. The main findings are that both the microscopic and the macroscopic tools replicated the empirical punctuality fairly well. Furthermore, allowing early departures of freight trains increased overall freight train punctuality while the passenger train punctuality decreased slightly, as determined by both tools. The results are encouraging, but further studies are needed to determine if macroscopic simulation is on-par with microscopic simulation.</p>}},
  author       = {{Johansson, Ingrid and Palmqvist, Carl William and Sipilä, Hans and Warg, Jennifer and Bohlin, Markus}},
  issn         = {{2210-9706}},
  keywords     = {{Early departures; Freight trains; Macroscopic; Microscopic; Railway; Simulation}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Rail Transport Planning and Management}},
  title        = {{Microscopic and macroscopic simulation of early freight train departures}},
  url          = {{http://dx.doi.org/10.1016/j.jrtpm.2022.100295}},
  doi          = {{10.1016/j.jrtpm.2022.100295}},
  volume       = {{21}},
  year         = {{2022}},
}