A Macroscopic Flow Model for Mixed Bicycle–Car Traffic

Journal Article (2020)
Author(s)

Maria Jettina Wierbos (TU Delft - Transport and Planning)

VL Knoop (TU Delft - Transport and Planning)

Flurin Hänseler (TU Delft - Transport and Planning)

Serge P. Hoogendoorn (TU Delft - Transport and Planning)

Transport and Planning
Copyright
© 2020 M.J. Wierbos, V.L. Knoop, F.S. Hanseler, S.P. Hoogendoorn
DOI related publication
https://doi.org/10.1080/23249935.2019.1708512
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 M.J. Wierbos, V.L. Knoop, F.S. Hanseler, S.P. Hoogendoorn
Transport and Planning
Issue number
3
Volume number
17
Pages (from-to)
340-355
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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.