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Real-time short-turning in high frequency bus services based on passenger cost
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering. Delft University of Technology, Netherlands.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
2017 (English)In: 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 861-866, article id 8005633Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we deal with the problem of determining when and where a bus should short-turn on a single bi-directional line in real-time. We formulate a decision rule for when to short-turn among candidate short-turning locations that is based on the objective of minimizing total generalized passenger travel cost including waiting times and forced transfer. Computational results and analysis are provided via a simulation study in BusMezzo, a dynamic, agent-based transit operations and assignment model that represents both vehicle as well as passenger progression. The simulation framework allows us to evaluate the resulting trade-off between passenger costs and transit performance that occur when a decision to short-turn is made. The proposed short-turning strategy is applied to a real-world high-frequency transit line in Stockholm, Sweden.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 861-866, article id 8005633
National Category
Infrastructure Engineering
Identifiers
URN: urn:nbn:se:kth:diva-215884DOI: 10.1109/MTITS.2017.8005633ISI: 000426813700147Scopus ID: 2-s2.0-85030223700ISBN: 9781509064847 OAI: oai:DiVA.org:kth-215884DiVA, id: diva2:1150325
Conference
5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017, Hotel Royal Continental, Naples, Italy, 26 June 2017 through 28 June 2017
Funder
VINNOVASwedish Transport Administration
Note

QC 20171018

Available from: 2017-10-18 Created: 2017-10-18 Last updated: 2018-03-22Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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