Abstract
The estimation results of passenger injury risk from quantitative information recorded by SRS unit are useful both of emergency activity and medical treatment service after accidents. Injury prediction model for estimating occupant′s serious injury risk based on Japanese accident data base using logistic regression modeling technique. Risk factors using in this model are delta-V, crash direction, belt use, multiple impact and occupant′s age. Serious injury risk of a total of 240 cases of crash mode was estimated by the model. The comparison has done between estimated serious injury risk and actual injury of 22 cases of Japanese in-depth accident data. The results show that injury prediction model has a good possibility for predicting injury risk based on onboard data and its application for post crash safety.
