International Journal of Automotive Engineering
Online ISSN : 2185-0992
Print ISSN : 2185-0984
ISSN-L : 2185-0992
Research Paper
Factors Influencing Specificity and Sensitivity of Injury Severity Prediction (ISP) Algorithm for AACN
Chinmoy PalTomosaburo OkabeVimalathithan KulothunganNarahari SangollaJeyabharath ManoharanWang StewartJohn Combest
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2016 Volume 7 Issue 1 Pages 15-22


To improve the accuracy of Injury Severity Prediction in the event of vehicle crash, a new methodology is proposed using the US vehicle accident database (NASS-CDS). This proposed method is an extension of the base algorithm introduced by Kononen et al. in which, some of the additional variables were introduced and branched logistic regression methodology was used. Results suggest that the proposed branching method has some advantage over the base algorithm due to better linearization of the complex multidimensional non-linear relationship of the input and output variables.

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© 2016 Society of Automotive Engineers of Japan, Inc

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