This project proposes to improve a framework for analyzing and optimizing interrelated transportation infrastructure projects under conditions of uncertainty. The study will enhance methods for evaluating and scheduling infrastructure investments, considering interdependencies and demand changes. By developing adaptable, long-term planning tools, the project aims to support agencies in making informed decisions that account for cost and resilience across transportation systems.
Universities Involved
University of Maryland, College Park
Principal Investigators
Paul Schonfeld
Expected Research Outcomes & Impacts
The research will yield a refined framework for optimizing infrastructure project schedules and budgets in complex, interdependent networks. Findings are anticipated to guide resource allocation decisions and address critical and resilience challenges.
Subject Areas
Urban Planning, Infrastructure Maintenance, Public Policy
