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Abstract
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OBJECTIVE: Construction of Injury risk functions (IRF) for front row occupants in oblique frontal crashes and a comparison to IRF of non-oblique frontal crashes from the same dataset.
METHOD: Crashes of modern vehicles from the GIDAS (German In-depth Accident Study) were used as the basis for the construction of a logistic injury risk model. Static deformation, measured via displaced voxels on the post-crash vehicles, was used to calculate the energy dissipated in the crash. This measure of accident severity was termed "objective equivalent speed" (oEES) as it does not depend on the accident reconstruction and thus eliminates reconstruction biases like impact direction and vehicle model year. Imputation from property-damage cases was used to describe underrepresented low-severity crashes - a known shortcoming of GIDAS. Binary logistic regression was used to relate the stimuli (oEES) to the binary outcome variable (injured or not injured).
RESULTS: IRF for the oblique frontal impact and non-oblique frontal impact were computed for the MAIS 2+ and MAIS 3+ levels for adults (18-64 years). For a given stimulus, the probability of injury for a belted driver was higher in oblique crashes than in non-oblique frontal crashes. For the 25% injury risk at MAIS 2+ level, the corresponding stimulus for oblique crashes was 40░km/h but 64░km/h for non-oblique frontal crashes.
CONCLUSIONS: The risk of obtaining MAIS2+-injuries is significantly higher in oblique crashes than in non-oblique crashes. In the real-world, most of the MAIS2+ injuries occur in an oEES range from 30░km/h to 60░km/h.
Language: en |