Identifying Critical and Vulnerable Freight Routes in Roadway Networks: A Game Theory Framework and Application in the State of Florida

Identifying Critical and Vulnerable Freight Routes in Roadway Networks: A Game Theory Framework and Application in the State of Florida
Mihalis Golias, Ph.D. (PI)
Professor, Department of Civil Engineering
University of Memphis
mgkolias@memphis.edu
John Hourdos, Ph.D.
Research Associate Professor, Department of Civil, Environmental, and Geo-engineering
University of Minnesota
hourd001@umn.edu
Evangelos I. Kaisar, Ph.D. (PI)
Professor, Department of Civil, Environmental and Geomatics Engineering
Florida Atlantic University
ekaisar@fau.edu

Proposal Summary and Objectives

Transportation networks are by nature vulnerable to natural and man-made disasters or incidents. Vulnerabilities of transportation networks have been widely studied in recent years and are gaining even more attention with the growing number of threats (e.g., climate change, man-made attacks). In the US the transportation network is one of the largest and oldest in the world, making also one of the most vulnerable. As traffic demand increases, despite the decrease in vehicle miles traveled, decision-makers are faced with the important task of identifying the vulnerable and critical links and routes in the transportation network. This also includes make decisions on investments that will protect and fortify the network against attacks. Addressing network vulnerabilities of transportation assets, in general, will minimize impacts of disruption, reduce recovery time and improve on the region’s resilience. In this project, we will improve and implement on a testbed in Florida mathematical models and tools developed by Golias et al. (2018) to identify critical and vulnerable links and/or paths with a focus on freight movements.

Funding Amount: $180,317
Status: Active
Duration: Sep 1, 2019 - Jul 30, 2020