Advancing sustainable, active, and just
transportation systems through data-driven insights
We use a variety of research methods including data analytics, applied statistics, causal inference, machine learning, human factors, and computational modeling and simulation.
News
2022-07-18Drs. Feng and Rybarczyk have their e-bike project funded by the UM-Dearborn - UM-Flint collaborative research funding program.
2022-02-15Dr. Feng received the NSF CAREER Award to study cycling safety. 
Dr. Feng will give a talk in the Tran-SET webinar on Sept 16. (flyer) 