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

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

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 intro...

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Veröffentlicht in:International Journal of Automotive Engineering 2015, Vol.6 (4), p.119-125, Article 20154068
Hauptverfasser: Chinmoy, Pal, Okabe, Tomosaburo, Vimalathithan, Kulothungan, Narahari, Sangolla, Jeyabharath, Manoharan, Wang, Stewart, John, Combest
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:2185-0984
2185-0992
DOI:10.20485/jsaeijae.6.4_119