Research Framework

Today’s transportation systems are undergoing a transformative shift, driven by technological advancements in connectivity, autonomy, shared mobility, and electrification. While these innovations offer new opportunities for enhanced mobility and multimodalism, they also require a reimagining of infrastructure design and operational strategies to promote accessibility, efficiency, and equity for all users.

To investigate the complex interplay among the three system pillars, I develop innovative mathematical frameworks that capture their dynamic interactions. These models are designed to strike a balance between efficiency and granularity; they employ coarse approximations where fine detail is unnecessary for decision-making, while ensuring high-resolution modeling where precision is critical for policy relevance and system performance. Achieving these goals relies on integrating diverse methodologies, including traffic flow theory, mathematical optimization, scalable algorithm design, game theory, simulation, and behavioral science.

Overall, my research addresses the urgent need to develop next-generation transportation systems that account for both system providers and users within a cyber-physical infrastructure. My tripod approach provides a structured, scalable pipeline for analyzing transportation operations that are both socially responsive and practically implementable. Furthermore, this approach allows it to be extended beyond transportation, supporting the analysis of other societal systems. This adaptability opens avenues for interdisciplinary collaboration, fostering integrated strategies that draw from and contribute to a wide range of domains.