
Crash Data Analytics

Collect. Integrate. Analyze.
The Data Science team collects, integrates, and analyzes a wide range of transportation datasets to address critical questions in transportation safety and efficiency. UMTRI experts are at the forefront of identifying the key factors that influence safety and mobility, as well as the most effective strategies for preventing crashes and injuries. Our experts have access to petabytes of high-quality naturalistic data, comprehensive U.S. crash data, and the world’s largest connected vehicle dataset. This wealth of information provides valuable insights to manufacturers and policymakers as they work toward developing a national connected vehicle network and advancing automated vehicle deployment.

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Carol Flannagan
Research Professor
Expertise: Statistical analysis, Bayesian methods, causal inference, crash data analysis, ADAS, ADS assessment, technology effectiveness, traffic safety data, data analysis

Colleen Peterson
Assistant Research Scientist
Expertise: Social and behavioral epidemiology, social determinants of health, qualitative and mixed methods, speeding, aging driving needs, caregiving technology solutions, dementia caregiving, driving cessation, intervention development and evaluation, teen driving, distracted driving, mindfulness and driving

Raymond Kiefer
Assistant Research Scientist
Expertise: Advanced Driver Assistance Systems (ADAS), partial/full automation features, pre- and post-production safety feature evaluations, Safe System Countermeasure Tool (SSCT), crash alerts

Patrick Bowman
Statistician Staff Specialist
Expertise: Statistical analysis, statistical consulting, data linkage, crash data analysis, statistical programming, data visualization, injury prevention

Mauriat Miranda
Lead Application Programmer/Analyst
Expertise: Statistical analysis, statistical consulting, data linkage, crash data analysis, statistical programming, data visualization, injury prevention