Citation

Kuniyuki H. Trans. Soc. Automot. Eng. Jpn. 2014; 45(2): 369-374.

Copyright

(Copyright © 2014, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.45.369

PMID

unavailable

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.

Language: ja

Keywords

Injury prediction; Near-side crash; Safety; Statistical accident analysis; SUV side impact crash