| Autor: |
Chinmoy Pal, Tomosaburo Okabe, Vimalathithan Kulothungan, Narahari Sangolla, Jeyabharath Manoharan, Wang Stewart, John Combest |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
International Journal of Automotive Engineering, Vol 7, Iss 1, Pp 15-22 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2185-0992 |
| DOI: |
10.20485/jsaeijae.7.1_15 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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