Comparing Pricing Mechanisms for Managed Lanes

Details

• Creators:
  Burris, Mark ; Jha, Kartikeya ; Biswas, Sayantan ; Holloway, Laura
• Corporate Creators:
  Texas A&M Transportation Institute ; University of Puerto Rico (Mayaguez Campus)
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; National Institute for Congestion Reduction ; Texas. Dept. of Transportation
• Subject/TRT Terms:
  • Alternatives analysis
  • Automatic vehicle identification
  • Congestion pricing
  • Loop detectors
  • Managed lanes
  • Pricing
  • Tolls
  • Traffic density
  • Traffic speed
  • Traffic volume
  More +
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report, April 2021
• Corporate Publisher:
  National Institute for Congestion Reduction
• Abstract:
  Two common means of pricing managed lanes (MLs) are to vary tolls based on time of day or to vary them dynamically based on real-time congestion. It is not clear which of the two tolling options is more effective in regulating ML usage. In this study, large datasets on toll prices, vehicle travel speeds, and traffic volumes were used to assess the effects of the two different congestion pricing strategies on traffic conditions on six MLs around the United States. The MLs included two that were variably priced: SR-91 and I-25; and four that were dynamically priced: I-35W, I-394, I-35E, and MoPac. The study used seven different performance measures to examine the ability of the toll to regulate traffic on the MLs. Overall, both pricing measures were found to keep traffic flowing on MLs, and neither pricing method was clearly superior. Dynamic pricing was found to perform slightly better in most metrics.
• Format:
  PDF
• Funding:
  69A3551947136
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/56968/dot_56968_DS1.pdf
• File Type:
  [PDF - 4.34 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:b281cc9986bce4b198146eb27557050b72b5e4738325ccbb398dd9adf1f377d3695027da21dd13cc9e0562e33f5fed44f2f96591807296e7ace060c2ce37f73b