International Journal of Automotive Engineering (Oct 2015)

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
https://doi.org/10.20485/jsaeijae.6.4_119
Journal volume & issue
Vol. 6, no. 4
pp. 119 – 125

Abstract

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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.