Understanding and Predicting Human Driving Behaviors via Machine Learning Models (Multiple Year Project)

Co-Principal InvestigatorsYi-Ching Lee, PhD, The Children’s Hospital of Philadelphia & Santiago Ontañón, PhD, Drexel University

Poor speed management is a key factor in teen driver crashes. This study will use machine learning techniques, state-of-the-art experimental and analytical methods, to create accurate models of teenage drivers’ behavior in order to inform the development and testing of new training and technology to improve teen driving and reduce risk.

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About This Center

This Center is made possible through a grant from the National Science Foundation (NSF) which unites CHOP, University of Pennsylvania, and The Ohio State University researchers with R&D leaders in the automotive and insurance industries to translate research findings into tangible innovations in safety technology and public education programs.

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