Research Areas

Travel Behavior Modeling

11/20/17

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.

11/2/17

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.

11/2/17

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.