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A macroscopic flow model for mixed bicycle–car traffic

Authors :
Wierbos, M. J.
Knoop, V. L.
Hänseler, F. S.
Hoogendoorn, S. P.
Source :
Transportmetrica A Transport Science; February 2021, Vol. 17 Issue: 3 p340-355, 16p
Publication Year :
2021

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.

Details

Language :
English
ISSN :
23249935 and 23249943
Volume :
17
Issue :
3
Database :
Supplemental Index
Journal :
Transportmetrica A Transport Science
Publication Type :
Periodical
Accession number :
ejs55222065
Full Text :
https://doi.org/10.1080/23249935.2019.1708512