When an airbag deployed, the vehicle’s stiffness has the most statistically significant correlation with injury risk. This analysis also found a new and significant correlation between the vehicle’s stiffness and injury risk. As with previous literature, the analysis found that the heavier vehicles were correlated with lower injury risk to their drivers. The algorithm was applied to 120,000 real-world, head-on collisions, from the National Highway Traffic Safety Administration’s (NHTSA’s) State Crash data files, that were linked to structural attributes derived from frontal crash tests performed as part of the USA New Car Assessment Program. ![]() The study used a data-mining approach (classification tree algorithm) to find the most significant relationships between injury outcome and the structural variables. This analysis investigated a range of structural characteristics, quantities that describes the physical features of a passenger vehicle, e.g., stiffness or frontal geometry. This study specifically investigated a range of vehicle-related factors that are associated with a lower risk of serious or fatal injury to a belted driver in a head-on collision.
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