Simulation-Based Evaluation of a Feedback Based Dynamic Congestion Pricing Strategy on Alternate Facilities

Congestion pricing is one of the most effective peak-period congestion management tools that has been implemented successfully in several different areas of the world. Dynamic pricing, or varying tolls depending on real-time traffic conditions, is a newer method that has been only used in the form of High Occupancy Toll (HOT) lanes in the United States. This paper proposes a methodology to extend the application of dynamic tolling to two neighboring tolled facilities. Current tolling algorithms being used for HOT lanes often result in highly fluctuating toll rates in short time intervals, creating an inconvenience for users. Following Zhang et al. (2008) study which addresses the problem of highly sensitive or less reactive tolling in dynamic pricing, a tolling algorithm is developed to calculate toll rates and define route decisions of users of two parallel routes. The algorithm is tested on two tunnels between New Jersey and New York City with a microscopic traffic simulation of the traffic entering Manhattan.

Language

  • English

Media Info

  • Media Type: DVD
  • Features: Figures; References; Tables;
  • Pagination: 23p
  • Monograph Title: TRB 90th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01341212
  • Record Type: Publication
  • Report/Paper Numbers: 11-3535
  • Files: TRIS, TRB
  • Created Date: May 30 2011 6:50AM