A Macroscopic Flow Model for Mixed Bicycle–Car Traffic

Marie-Jette Wierbos, Victor Knoop, Flurin Hanseler, Serge Hoogendoorn

Research output: Contribution to journalArticleScientificpeer-review

20 Citations (Scopus)
114 Downloads (Pure)

Abstract

Bicycles are gaining popularity as a mode of transport resulting in a mixed bicycle–car traffic situation on urban roads. Cyclists however, are hardly included in traffic flow models which complicates the design of safe and congestion-free traffic situations. This work introduces class-specific speed functions based on two variables, being space headway for both cars and cyclists. This enables the macroscopic modelling of mixed bicycle–car traffic. The multi-class macroscopic flow model is successfully tested for different traffic situations that occur on urban roads where cyclists and cars share the same infrastructure, e.g. cyclists overtaking a queue of cars and cars overtaking cyclists with reduced speed. The mixed bicycle–car flow model allows travel time estimation of both classes, which in turn can be used to evaluate the overall performance of a mixed traffic road.
Original languageEnglish
Pages (from-to)340-355
Number of pages16
JournalTransportmetrica A: Transport Science
Volume17
Issue number3
DOIs
Publication statusPublished - 2020

Keywords

  • bicycle
  • class-specific speed function
  • Macroscopic flow model
  • mixed traffic

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