The performance of the transportation system under the stress of natural and man-made disasters is one of the most important aspects of transportation system design. In light of recent failures, there has been a push at the state and federal levels to improve U.S. infrastructure resilience. As things stand, disaster preparedness is a secondary consideration, and the models and best practices on which it is based are insufficient. Planning for disasters is a complex process that must account for transportation network design, disaster dynamics, and human behavior under duress. Tools that assist in planning must account for the process holistically, and planners must be willing to consider fundamental reconfiguration of transportation systems that give residents a greater chance of survival in the worst-case scenarios. This seed grant will focus on fundamental methodological development and kick off research into the holistic optimization of evacuation plans and the systems on which they depend, accounting for the various friction factors that often get in the way. The methodology developed in this project and subsequent work will substantially advance the state of the art towards a safer, better-performing transportation network. Expected results are new mathematical modeling/optimization techniques, open-source code, collected and processed datasets, publications, and targeted stakeholder engagement.