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

著者情報

キーワード: Safety, automatic crash notification, injury database, injury criteria, intelligent vehicle

ジャーナルオープンアクセス

2015 年 6 巻 4 号 p. 119-125

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

詳細

抄録

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.

責任著者(Corresponding author)

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