Transactions of Society of Automotive Engineers of Japan
Online ISSN : 1883-0811
Print ISSN : 0287-8321
ISSN-L : 0287-8321
Technical Paper
A Study on Injury Prediction Method for Passenger Car Occupants in SUV or Truck Side Impact Crashes Using Accident Data
Hiroshi Kuniyuki
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2014 Volume 45 Issue 2 Pages 369-374

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Abstract
This study clarifies injury prediction model and influential factors in SUV or truck side impact crashes using Japanese accident data. In results, it is important for injury risks to evaluate deformation of door for chest injuries in case of SUV or truck side impact crashes. The previous injury prediction model has outlier cases of these crashes because of difference of door’s deformation. The injury prediction model in this study including delta-V and damage grade can estimate the injury risks in SUV or truck side impact crashes just using these types of accident data. This model shows that the injury risks in SUV or truck side impact crashes are higher than those in regular vehicles side impact crashes; however, the predictive accuracy cannot be improved sufficiently.
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© 2014 Society of Automotive Engineers of Japan, Inc.
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