| Brief Description of Research Project | The goal of this project is to develop a MRR optimization methodology that accounts for the impacts of queue spillbacks, both during an MRR activity and in the event of a failure, to improve the resilience of the transportation network. To do so, the link transmission model that can accurately account for queue growth on a network based on traffic flow theory will be used. Further, the vulnerability of the network to single or multiple link closures due to failure will also be included in the objective function. Functionality-based resilience metrics will be defined to measure the resilience of the transportation infrastructure. In particular, the vulnerability of the infrastructure or transportation system to damage or disruption, and the criticality of the infrastructure or system, will be used to categorize infrastructure into four quadrants, i.e., high vulnerability and high criticality, high vulnerability and low criticality, low vulnerability and high criticality, and low vulnerability and low criticality. The model will be solved using heuristics to determine optimal schedule of MRR activities on a network. The results will be compared to MRR planning, where a BPR function is used to quantify traffic delays and that does not account for resiliency of the network. Overall, this project addresses topics related to the longevity and sustainability of transportation infrastructure systems. |
