Frontal Crash Reconstruction Compared to Event Data Recorders in the
Crash Investigation Sampling System Database and the Effect on Injury Risk
Models 2023-01-5043
This study compares statistical models for frontal crash injuries based on
delta-v data reported by the vehicle event data recorder (EDR) with injury
probability models based on delta-v reconstructed by Crash Investigation
Sampling System (CISS) investigators. Injury probabilities and their follow-on
use in advanced automatic crash notification (AACN) systems have traditionally
been based on delta-v obtained through accident reconstruction of field crashes
in the National Automotive Sampling System Crash Data System (NASS-CDS)
database. Field delta-v from EDRs in the CISS database is an alternative source
of information for crash injury probability modeling. In this study, frontal
impact injury risk probabilities computed from EDR and reconstructed delta-v
were compared. All data came from the years 2017–2021 of the CISS database,
which contains EDR downloads and also reconstructed delta-v using crush
measurements and NHTSA’s WinSmash software. On average, CISS reconstructions
overestimated delta-v below 16 kph and underestimated delta-v above 16 kph when
compared to EDR delta-v. CISS also records detailed injury data using the 2015
Abbreviated Injury Scale (AIS) developed by the Association for the Advancement
of Automotive Medicine (AAAM). Statistical analysis was performed using logistic
regression to calculate MAIS 1+, MAIS 2+, MAIS 3+, and ISS 16+ injury
probabilities. EDR-derived injury probabilities showed a lower risk for serious
injury at delta-v above 48 kph when compared to probabilities based on CISS
reconstructed delta-v. AACN algorithms are currently based on reconstructed
delta-v but are triggered by EDR delta-v in the field. An analysis performed to
determine the effect of the difference between the source of delta-v on the AACN
notification threshold showed differences for AACN algorithms trained on EDR
delta-v compared to reconstructed delta-v. The results of this study showed that
the trigger threshold for AACN notification will differ by delta-v source, and
this difference leads to variation in injury prediction.
Citation: Watson, R., Bonugli, E., and Greenston, M., "Frontal Crash Reconstruction Compared to Event Data Recorders in the Crash Investigation Sampling System Database and the Effect on Injury Risk Models," SAE Technical Paper 2023-01-5043, 2023, https://doi.org/10.4271/2023-01-5043. Download Citation
Author(s):
Richard A. Watson, Enrique Bonugli, Mathew Greenston
Affiliated:
Biodynamic Research Corporation, Engineering
Pages: 9
Event:
Automotive Technical Papers
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Accident reconstruction
Event data recorders
Frontal collisions
Statistical analysis
Injuries
Safety regulations and standards
Injury classification
Connectivity
Hazards and emergency operations
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