Detecting crashes and near-crashes in real-time can greatly benefit traffic safety management, development of safety countermeasures, and naturalistic driving data analysis.
VTTI researchers are using advanced machine learning and statistical methods to examine key characteristics of high G-force events and their connection with crashes and develop machine-learning models that can help predict crashes from high G-force events in real-time.