Decision Matrix and Guidance Document for Proactive Congestion Management

Utilizing the congestion detection algorithm being developed by the University of South Florida research team in “Proactive Congestion Management,” this project will develop a decision matrix which could be used to determine the viability of proactive congestion management strategies that meet the overall objective of mitigating congestion. This decision matrix could be used to help an operating agency identify possible operational strategies to mitigate or delay the onset of the congestion and could provide infrastructure owner/operators with a selection matrix based on operational conditions and available field data by which they can select potential operational strategies to consider for implementation. The matrix will complement the simulation models of strategies developed by the University of South Florida and will provide specific guidance and recommendations that could benefit agencies in the rapid deployment of strategies in response to potential field condition triggers.

• Record URL:
  https://nicr.usf.edu/2022/01/20/4-2-1-proactive-congestion-management-2/

Language

• English

Project

• Status: Active
• Funding: $129764
• Contract Numbers:

  69A3551947136

  79070-00-B

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  National Institute for Congestion Reduction

  University of South Florida
  Tampa, FL  United States  33620
• Managing Organizations:

  National Institute for Congestion Reduction

  University of South Florida
  Tampa, FL  United States  33620
• Project Managers:

  Li, Xiaopeng

• Performing Organizations:

  Texas A&M Transportation Institute (TTI)

  400 Harvey Mitchell Parkway South
  Suite 300
  College Station, TX  United States  77845-4375
• Principal Investigators:

  Kuhn, Beverly

• Start Date: 20200601
• Expected Completion Date: 20211031
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Bluetooth technology; Connected vehicles; Data fusion; Forecasting; Highway traffic control; Loop detectors; Traffic congestion
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01835743
• Record Type: Research project
• Source Agency: National Institute for Congestion Reduction
• Contract Numbers: 69A3551947136, 79070-00-B
• Files: UTC, RIP
• Created Date: Feb 9 2022 6:35PM