Ann Arbor, MI
United States
University of Michigan at Ann Arbor
Bayesian stopping, experiment planning, decision-making, sample size, predictive power analysis
virtual safety impact assessment, active sampling, importance sampling, machine learning, domain knowledge, crash-causation model, glance behavior.
Practical Equivalence Testing, Synthetic Pre-Crash Scenarios, Driving automation systems, Virtual Simulations, Safety impact assessment
crash surrogate, traffic safety, causal mediation analysis, causal inference, hard braking
