Fast or forced to follow: A speed heterogeneous approach to congested multi-lane bicycle traffic simulation

Mads Paulsen*, Thomas Kjær Rasmussen, Otto Anker Nielsen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Copenhagen is world-known for its large proportion of cyclists, forming a diverse group with a large variation of equipment and physical abilities. This leads to a considerable speed heterogeneity which needs to be taken into account when modelling the traffic on dedicated bicycle paths. Nevertheless, existing studies on bicycle traffic simulation have either neglected such speed heterogeneity altogether or modelled it by dividing cyclists into a few discrete classes ignoring the entirety of the speed distribution. This paper proposes an efficient bicycle traffic simulation model with continuously speed heterogeneous cyclists and corresponding congestion effects. Based on individual-specific desired speeds and headway distance preferences, the model shows realistic speed-flow relationships validated with on-site observations while being capable of delaying rapid cyclists more often than slower ones in moderate traffic flows. The scalability of the model allows it to be large-scale applicable for network loading purposes, and thus suitable for evaluating impacts of cycling related infrastructure investments.

Original languageEnglish
JournalTransportation Research Part B: Methodological
Volume127
Pages (from-to)72-98
ISSN0191-2615
DOIs
Publication statusPublished - 2019

Keywords

  • Bicycle congestion modeling
  • Bicycle traffic
  • Fundamental diagram
  • Multi-lane traffic
  • Simulation
  • Speed heterogeneity

Cite this

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title = "Fast or forced to follow: A speed heterogeneous approach to congested multi-lane bicycle traffic simulation",
abstract = "Copenhagen is world-known for its large proportion of cyclists, forming a diverse group with a large variation of equipment and physical abilities. This leads to a considerable speed heterogeneity which needs to be taken into account when modelling the traffic on dedicated bicycle paths. Nevertheless, existing studies on bicycle traffic simulation have either neglected such speed heterogeneity altogether or modelled it by dividing cyclists into a few discrete classes ignoring the entirety of the speed distribution. This paper proposes an efficient bicycle traffic simulation model with continuously speed heterogeneous cyclists and corresponding congestion effects. Based on individual-specific desired speeds and headway distance preferences, the model shows realistic speed-flow relationships validated with on-site observations while being capable of delaying rapid cyclists more often than slower ones in moderate traffic flows. The scalability of the model allows it to be large-scale applicable for network loading purposes, and thus suitable for evaluating impacts of cycling related infrastructure investments.",
keywords = "Bicycle congestion modeling, Bicycle traffic, Fundamental diagram, Multi-lane traffic, Simulation, Speed heterogeneity",
author = "Mads Paulsen and Rasmussen, {Thomas Kj{\ae}r} and Nielsen, {Otto Anker}",
year = "2019",
doi = "10.1016/j.trb.2019.07.002",
language = "English",
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pages = "72--98",
journal = "Transportation Research. Part B: Methodological",
issn = "0191-2615",
publisher = "Pergamon Press",

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TY - JOUR

T1 - Fast or forced to follow: A speed heterogeneous approach to congested multi-lane bicycle traffic simulation

AU - Paulsen, Mads

AU - Rasmussen, Thomas Kjær

AU - Nielsen, Otto Anker

PY - 2019

Y1 - 2019

N2 - Copenhagen is world-known for its large proportion of cyclists, forming a diverse group with a large variation of equipment and physical abilities. This leads to a considerable speed heterogeneity which needs to be taken into account when modelling the traffic on dedicated bicycle paths. Nevertheless, existing studies on bicycle traffic simulation have either neglected such speed heterogeneity altogether or modelled it by dividing cyclists into a few discrete classes ignoring the entirety of the speed distribution. This paper proposes an efficient bicycle traffic simulation model with continuously speed heterogeneous cyclists and corresponding congestion effects. Based on individual-specific desired speeds and headway distance preferences, the model shows realistic speed-flow relationships validated with on-site observations while being capable of delaying rapid cyclists more often than slower ones in moderate traffic flows. The scalability of the model allows it to be large-scale applicable for network loading purposes, and thus suitable for evaluating impacts of cycling related infrastructure investments.

AB - Copenhagen is world-known for its large proportion of cyclists, forming a diverse group with a large variation of equipment and physical abilities. This leads to a considerable speed heterogeneity which needs to be taken into account when modelling the traffic on dedicated bicycle paths. Nevertheless, existing studies on bicycle traffic simulation have either neglected such speed heterogeneity altogether or modelled it by dividing cyclists into a few discrete classes ignoring the entirety of the speed distribution. This paper proposes an efficient bicycle traffic simulation model with continuously speed heterogeneous cyclists and corresponding congestion effects. Based on individual-specific desired speeds and headway distance preferences, the model shows realistic speed-flow relationships validated with on-site observations while being capable of delaying rapid cyclists more often than slower ones in moderate traffic flows. The scalability of the model allows it to be large-scale applicable for network loading purposes, and thus suitable for evaluating impacts of cycling related infrastructure investments.

KW - Bicycle congestion modeling

KW - Bicycle traffic

KW - Fundamental diagram

KW - Multi-lane traffic

KW - Simulation

KW - Speed heterogeneity

U2 - 10.1016/j.trb.2019.07.002

DO - 10.1016/j.trb.2019.07.002

M3 - Journal article

VL - 127

SP - 72

EP - 98

JO - Transportation Research. Part B: Methodological

JF - Transportation Research. Part B: Methodological

SN - 0191-2615

ER -