Large-Scale Assignment of Congested Bicycle Traffic Using Speed Heterogeneous Agents

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 the authors 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.

• Record URL:
  • https://doi.org/10.1016/j.procs.2019.04.112
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1877050919305769
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2019 Mads Paulsen and Kai Nagel. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Paulsen, Mads
  • Nagel, Kai
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 820-825
• Serial:
  • Procedia Computer Science
  • Volume: 151
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Cyclists; Route choice
• Uncontrolled Terms: Bicycle traffic; Bicycle traffic assignment; Bicycle traffic congestion; Dynamic network loading; Multi-agent simulation; Speed heterogeneity
• Geographic Terms: Copenhagen (Denmark)
• Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists;

Filing Info

• Accession Number: 01712684
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 29 2019 10:32AM