The Systems Analysis and Optimization thrust draws on our strength in data-driven decision making and systems modeling and optimization and expertise in renewable energy systems, especially in predictive analytics and optimization algorithms, decision support systems, energy-efficient mobility systems for urban and rural areas. We delve beyond typical metrics like travel time or system throughput. We assess and optimize network resilience, service reliability, operational efficiency, and changes in traffic patterns. We adopt a mixed methods approach to all system analysis. This thrust also provides foundational tools and analysis methods for use in other thrusts.

Quantitatively, we access multi-modal data of various sources at different scales to evaluate various system performance metrics and also perform modeling, simulation, and optimization to design optimal new mobility solutions, including, activity-based models, four-step demand forecasting, mesoscopic dynamic network simulation and microscopic traffic simulation. Qualitatively, we will gather insights on user satisfaction and public perception of efficiency improvements through interviews and surveys, capturing how users perceive and experience these changes.