Pulse and Polynomial Functions to Predict Vehicle Acceleration Using Event Data Recorder Delta-V in Frontal and Rear-End Collisions Biomechanical Consultants

Format:

Book

Conference/Event

Author/Creator:

Westrom, Clyde, author.

Contributor:

Adanty, Kevin

Shimada, Sean D.

Conference Name:

Automotive Technical Papers (2025-01-01 : Warrendale, Pennsylvania, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

The lack of recorded acceleration and limited Delta-V (ΔV) resolution in many vehicle event data recorders necessitates the development of a method to predict continuous vehicle acceleration based on ΔV responses. This study developed a method of obtaining continuous acceleration by regressing pulse functions (triangular, half-sine, haversine) and polynomial functions (orders 36) to a ΔV curve and deriving the corresponding accelerationtime curve. The effectiveness of this method was demonstrated using real-world ΔV response data from front and rear-end collisions. Comparisons were performed between peak and average acceleration values from each front and rear-end crash pulse. Results indicated that a triangular pulse function predicted similar peak acceleration values to the vehicle's actual acceleration in frontal and rear-end impacts. Average acceleration in frontal impacts was best predicted utilizing a fifth-order polynomial, while a sixth-order polynomial demonstrated the best predictive ability for rear-end impacts. Obtaining equations for vehicle ΔV and acceleration is crucial in assessing impact severity due to the vehicle's dynamic response

Notes:

Vendor supplied data

Publisher Number:

2025-01-5046

Access Restriction:

Restricted for use by site license