Research Interests
My research develops AI-enabled transportation systems that make connected, automated, and conventional mobility safer, more efficient, sustainable, and resilient. It combines artificial intelligence, transportation systems engineering, high-fidelity simulation, and experimental validation in the following areas.
Safe, Efficient, and Sustainable Connected and Automated Vehicles
Cooperative driving automation, eco-driving, and integrated vehicle and traffic-signal control using vehicle-to-everything communications. This work focuses on measurable energy, mobility, and safety benefits for passenger vehicles, transit, and freight.
Artificial Intelligence for Intelligent Transportation Systems
Deep reinforcement learning, multi-agent AI, generative AI, large language models, retrieval-augmented generation, and human-AI collaboration for traffic control, operations, and scenario generation. A central goal is to make learning-enabled transportation systems trustworthy and resilient in real-world deployment.
Vehicle-in-the-Loop Testing and Advanced Driver Assistance Systems
Vehicle-in-the-loop and X-in-the-loop methods for evaluating crash-avoidance systems, automated-driving functions, and connected-vehicle applications. The research links physical vehicles and components with real-time virtual traffic environments to test safety-critical behavior under repeatable conditions.
Traffic Safety and Real-Time Risk Analysis
Proactive crash-risk prediction, safety-performance modeling, surrogate safety measures, and computer-vision-based traffic analysis. The work uses high-resolution signal, trajectory, video, connected-vehicle, and roadway data to identify risks before crashes occur.
High-Fidelity Digital Twins and Driving Simulation
Cyber-physical digital twins, distributed cloud co-simulation, microscopic traffic simulation, and driving simulators for testing emerging mobility technologies at vehicle, intersection, corridor, and regional scales.
Related work is listed under Publications and Research Projects.