Synergies of combining demand- and supply-side measures to manage congested streets

An agent-based, multichannel simulation of a downtown area reveals the impacts of both time-shifting traffic demand with congestion pricing, and supplying extra capacity by banning left turns. The downtown street network was idealized, and loosely resembles central Los Angeles. On the demand-side, prices were set based on time-of-day and distance traveled. On the supply side, left-turn maneuvers were prohibited at all intersections on the network. Although both traffic management measures reduced travel costs when used alone, the left-turn ban was much less effective than pricing. When combined with pricing under congested conditions, however, the left-turn ban’s effectiveness increased considerably—it more than doubled in some cases. Furthermore, the two measures combined reduced travel costs in synergistic fashion. In some cases, this synergistic effect was responsible for 30% of the cost reduction. This strong synergy suggests that turning bans should be considered as an added option when contemplating congestion pricing.

• Record URL:
  https://doi.org/10.1016/j.tra.2021.07.002
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0965856421001841
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Supplemental Notes:
  • © 2021 Ibrahim Itani et al. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Itani, Ibrahim
  • Cassidy, Michael J
  • Daganzo, Carlos
• Publication Date: 2021-9

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 172-179
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 151
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Congestion management systems; Congestion pricing; Demand; Supply; Traffic congestion; Traffic simulation
• Geographic Terms: Los Angeles (California)
• Subject Areas: Finance; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01784421
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 7 2021 4:59PM