A Framework to Assess the Survivability of Intelligent Transportation Systems
This research proposal seeks funds to define and develop a computational framework to identify and prioritize critical components in surface transportation networks in such a manner as to allow engineers, management, and emergency planners to allocate funds to improve the survivability of the system under analysis. By computational framework we mean the procedures and set of tools needed to automate the representation, analysis, ranking and depiction of the interdependent components comprising an ITS. Henceforth we refer to the computational framework as simply the "framework" The framework will be based on graph-based algorithms and network dependability and security models.
Twelve months of activity are planned under this project. The project tasks involve developing a framework that enables ITS designers and policy makers to asses the impact of different designs and traffic flow policies on network survivability. The proposed project is an interdisciplinary effort involving three researchers from three departments. The principal investigators have prior UTC research experience, accomplished publication records, and successful track records in federal funding. Results of the project will lead to increasingly dependable and secure ITS’ operating under normal, event-driven, and unusual or abnormal (e.g., accident) conditions.