Emerging charging infrastructure deployment

We aim to address the intricate balance between EV adoption rates, charging demand forecasting, and the seamless integration of charging infrastructure into existing power grids.

Electric vehicle behavior analysis, optimization and simulation 

Analyzing real-world driving and charging data from a large-scale electric vehicle (EV) fleet is crucial for supporting decision-making, particularly in deploying charging infrastructure and developing EV-focused policies.

Truck platooning operation design 

Our research evaluates the benefits of truck platooning on labor management and operational efficiency by using large-scale optimization models and innovative heuristic algorithms.

Modular vehicle operation design 

Our research optimizes on-demand mobility services and alleviates bus bunching for Modular Autonomous Vehicles (MAVs) by developing models and algorithms that leverage their ability to merge and split in motion.

Counter-pandemic logistics optimization

Our research optimizes counter-pandemic logistics by developing models to enhance the deployment and operation of polymerase chain reaction sample collection booths and to improve the robustness of quarantine systems through effective room assignment and facility location strategies.