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A Power-Based Approach to Model the Impact of Gradient in Bicycle Traffic Simulation
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. Swedish National Road and Transport Research Institute (VTI).
Swedish National Road and Transport Research Institute (VTI).
Swedish National Road and Transport Research Institute (VTI).
2023 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

To simulate bicycle traffic accurately, it is essential to capture how bicyclists react to features of the infrastructure such as the longitudinal gradient of a bicycle path. Bicycling requires human-powered motion, and the power output provided by bicyclists differ significantly among bicyclists due to physical capabilities and preferences. Therefore, the objective of this paper is to investigate the connection between power output and gradient in bicycle traffic, with the purpose of developing a power-based model that predicts accurately the speed of bicyclists. Based on trajectory data of free-riding bicyclists travelling on a non-flat bicycle path segment, we estimate changes in power output as a function of gradient considering the physical forces acting on a bicycle. The results suggest a linear correlation between power output and gradient; while bicyclists increase their power output on the uphill as gradient increases, they decrease their power output on the downhill as gradient increases. By implementing this correlation into a traffic simulation algorithm, we show that the simulation captures well the impact of gradients in a population of bicyclists as it reproduces similar speed profiles. We conclude that bicyclists adapt their power output to compensate for the gradient and its associated change in speed, and that the impact of gradient varies greatly among bicyclists. Furthermore, we conclude that power-based modelling of free-riding bicyclists is an attractive alternative to investigate further.

Place, publisher, year, edition, pages
Transportation Research Board , 2023.
Keywords [en]
bicycle travel, highway grades, microscopic traffic flow, power output, traffic simulation
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-196210OAI: oai:DiVA.org:liu-196210DiVA, id: diva2:1780126
Conference
Transportation research board 102nd annual meeting. Washington DC, United States. 2023-1-8 to 2023-1-12
Available from: 2023-07-05 Created: 2023-07-05 Last updated: 2023-08-14Bibliographically approved

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Pérez Castro, Guillermo

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf