Decision Matrix and Guidance Document for Proactive Congestion Management

Authors

Beverly Thompson Kuhn
Cheng Zhang

Document Type

Technical Report

Publication Date

2-25-2022

Keywords

Proactive congestion management, recurring congestion, non-recurring congestion, active management, transportation systems management and operations

Digital Object Identifier (DOI)

https://doi.org/10.5038/CUTR-NICR-Y1-4-2.1

Abstract

This project developed a decision matrix that transportation agencies can use to determine the viability of proactive congestion management strategies that meet their overall objective of mitigating congestion. This decision matrix can be used to help an operating agency identify possible operational strategies to mitigate or delay the onset of the congestion and can 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 was augmented with data from the University of South Florida research team in “Proactive Congestion Management” and complements the simulation models of strategies developed by the University of South Florida. The matrix is also the foundation of an online screening tool that provides high-level guidance and recommendations on specific congestion management strategies that might support proactive congestion management.

Comments

Additional information available at: https://zingtree.com/show/203440350000

Scholar Commons Citation

Kuhn, Beverly Thompson and Zhang, Cheng, "Decision Matrix and Guidance Document for Proactive Congestion Management" (2022). Research Reports. 9.
https://digitalcommons.usf.edu/cutr_nicr/9