Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9173
Main Title: Large-Scale Assignment of Congested Bicycle Traffic Using Speed Heterogeneous Agents
Author(s): Paulsen, Mads
Nagel, Kai
Type: Article
Language Code: en
Abstract: Despite requiring less space than most other modes of transport, bicycle traffic will also be prone to congestion when the traffic volume is sufficiently large. Such congestion can eventually influence the route choices of cyclists using the network. In this study we model bicycle congestion on a detailed network of the greater Copenhagen area by assigning an entire day of bicycle traffic using a recently developed method for dynamic network loading of speed heterogeneous multi-lane bicycle traffic. The model iteratively assigns appropriate routes for more than a million bicycle trips in the demand sensitive network, and with computation times of less than 15 minutes per iteration the proposed model proves to be large-scale applicable. This makes it the first dedicated bicycle traffic assignment model to account for congestion. The results indicate that the solid bicycle infrastructure of Copenhagen and cyclists’ willingness to change routes are key to keeping travel times low for cyclists.
URI: https://depositonce.tu-berlin.de/handle/11303/10184
http://dx.doi.org/10.14279/depositonce-9173
Issue Date: 21-May-2019
Date Available: 24-Oct-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
004 Datenverarbeitung; Informatik
Subject(s): bicycle traffic assignment
bicycle congestion modelling
multi-agent simulation
speed heterogeneity
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal Title: Procedia Computer Science
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 151
Publisher DOI: 10.1016/j.procs.2019.04.112
Page Start: 820
Page End: 825
EISSN: 1877-0509
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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