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

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  • Paulsen, Mads
  • Rasmussen, Thomas Kjær
  • Nielsen, Otto Anker

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.

Suggested Citation

  • Paulsen, Mads & Rasmussen, Thomas Kjær & Nielsen, Otto Anker, 2019. "Fast or forced to follow: A speed heterogeneous approach to congested multi-lane bicycle traffic simulation," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 72-98.
    • Handle: RePEc:eee:transb:v:127:y:2019:i:c:p:72-98
    DOI: 10.1016/j.trb.2019.07.002
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    2. Hallberg, Martin & Rasmussen, Thomas Kjær & Rich, Jeppe, 2021. "Modelling the impact of cycle superhighways and electric bicycles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 397-418.
    3. Mads Paulsen & Thomas Kjær Rasmussen & Otto Anker Nielsen, 2022. "Including Right-of-Way in a Joint Large-Scale Agent-Based Dynamic Traffic Assignment Model for Cars and Bicycles," Networks and Spatial Economics, Springer, vol. 22(4), pages 915-957, December.

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