Embedded Files
My research is motivated by the unprecedented complexity facing today's transportation systems, driven by advances in connectivity, autonomy, electrification, and emerging socio-economic paradigms such as the shared economy. These innovations require reimagining infrastructure and operations to ensure accessible, efficient, and equitable mobility. Specifically, my work addresses two guiding questions:
What forms of intervention are effective, economically justified, and socially acceptable for transportation systems?
How can advances in mathematical modeling, computation, and AI jointly support decision-making in rapidly evolving, large-scale systems?
To answer these questions, we develop mathematical frameworks grounded in operations research that capture the interplay among the three interdependent pillars:
Infrastructure design: Integrating appropriate technological infrastructure layers, including Cyber-Physical Systems (CPS) and electrification, into existing transportation frameworks is crucial to enhancing system capacity and diversity.
Operational policies: Developing adaptive operational schemes and policies is pivotal to facilitating seamless adoption by the public while maintaining service level equilibria between traditional and emerging services.
User interactions: Understanding transportation user behaviors is fundamental to synchronizing these pillars, enabling the modeling of service dynamics that are responsive to user needs and preferences.
I develop innovative mathematical frameworks that capture the complex interplay among these three system pillars. These models balance efficiency and granularity by using coarse approximations where appropriate while maintaining high-resolution modeling where precision is essential. My solutions integrate diverse methodologies, including mathematical optimization, scalable algorithm design, artificial intelligence, traffic flow theory, game theory, simulation, and behavioral science.
Overall, my research advances next-generation transportation systems by accounting for both providers and users through a structured and scalable tripod approach. This framework enables the analysis of mobility operations that are socially responsive and practically implementable, while also being transferable to other societal systems, fostering interdisciplinary collaboration and cross-domain innovation.
Page updated
Google Sites
Report abuse