Identification of Factors Influencing Injury Severity Prediction (ISP) in Real World Accident Based on NASS-CDS

Pal Chinmoy; Tomosaburo Okabe; Kulothungan Vimalathithan; Sangolla Narahari; Manoharan Jeyabharath; Stewart Wang; Combest John

doi:10.20485/jsaeijae.6.4_119

Research Paper

Identification of Factors Influencing Injury Severity Prediction (ISP) in Real World Accident Based on NASS-CDS

Pal Chinmoy, Tomosaburo Okabe, Kulothungan Vimalathithan, Sangolla Narahari, Manoharan Jeyabharath, Stewart Wang, Combest John

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Keywords: Safety, automatic crash notification, injury database, injury criteria, intelligent vehicle

JOURNAL OPEN ACCESS

2015 Volume 6 Issue 4 Pages 119-125

DOI https://doi.org/10.20485/jsaeijae.6.4_119

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Abstract

To improve the accuracy of Injury Severity Prediction in the event of vehicle crash, a new algorithm is proposed using the US vehicle accident database (NASS-CDS). This proposed algorithm work over the base algorithm (introduced by kononen et al) in which, some of the additional variables were introduced and some of the existing variable’s classifications were modified. Results suggest that the proposed algorithm has some advantage over the base algorithm.

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