4-2.1: Proactive Congestion Management – Decision Matrix and Guidance Document
| Principal Investigator | Beverly Kuhn |
| Final Report (DOI) | View Final Report |
| TRID | View TRID – 1737415 |
| Policy Brief | View Policy Brief |
Abstract
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.
