Carol Flannagan

Dr. Flannagan has over 25 years of experience conducting data analysis and addressing research questions related to transportation and mobility. She develops analytical methods for and analyzes a wide variety of transportation-related data, including travel, driving, crash, traffic, and injury outcome data. Her work includes development of algorithms to recognize high-level behaviors in videos, algorithms to detect when a crash is likely to cause injury (and alert EMS), and assessments of safety benefits of advanced vehicle technologies. Dr. Flannagan’s methods work includes, for example, efficient design of experiments, incorporation of machine-learning methods into transportation data analysis and survey sample design. She has recent and current NHTSA-funded projects estimating field safety benefits of a number of different ADAS systems and developing and piloting an on-road test procedure for Highly Automated Vehicles (HAVs). Dr. Flannagan’s research has been sponsored by Federal agencies including FHWA, NHTSA and FMCSA, state agencies, including the Michigan Office of Highway Safety Planning and the Michigan Department of Transportation, vehicle manufacturers including General Motors and Ford, the insurance industry, and the National Science Foundation (NSF), among others.

Awards

• Richard H. Austin Long-term Service Award for MTCF, 2020
• UMOR Research Faculty Achievement Award, 2018
• NHTSA Public Service Award, 2017