Machine Learning Techniques: Online Prediction of Driving Behavior and Generation of Customized Feedback – (Multiple Year)

Principal Investigator: Yi-Ching Lee, PhD, The Children’s Hospital of Philadelphia & Santiago Ontanon, PhD, Drexel University

The long-term objective of this study is to utilize state-of-the-art experimental and analytical techniques to create accurate models of teenage drivers’ behavior in order to inform the development and testing of new technology and training methodologies to improve teen driving and reduce risk. The broad objective is to examine the potential for the personalized feedback to improve driving behavior and reduce dangerous behavior, specifically in the context of speed management of teen drivers.

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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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