Abstract Summary
A methodology is outlined for conducting a subject-specific analysis for a low speed rear-end collision. To demonstrate, a MADYMO model was built from 3D laser scan data of the subject driver and vehicle interior, then given motion consistent with imaging of the subject vehicle’s Event Data Recorder. The subject-specific MADYMO simulation was able to accurately predict the results of collision. Specifically, the results from the simulation were consistent with previous rear-end crash data, indicating that the occupant and vehicle geometry did not have a significant effect on the evaluated metrics.