Research Areas

Travel Behavior Modeling

12/4/17
This project develops novel data mining methodologies that integrate heterogeneous urban data for the estimation of city-wide transportation information.
11/2/17
Developing a smartphone-based travel behavior data collection platform that recruits participants by rewarding users with real-time parking information.
11/2/17
Understanding and expressing public transit system utilization based on fundamental travel behavior.
12/1/17
Creating a quality-aware crowdsourced road sensing system that integrates sensory data from multiple vehicles while placing more weight on the vehicles that provide high quality data to significantly improve integration accuracy.
11/17/17
The project suggests a bottom-up travel behavior driven approach which obtains trends in individual travel behavior first and use such information to enhance longitudinal origin-destination demand monitoring.
11/5/18
Integrating machine learning, big data, sensor networks, and agent-based transportation modeling to prototype an algorithm that combines the power of a model-driven approach with the power of big data.