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A bivariate normal model for intra-accident correlations of driver injury with application to the effect of mass ratio

✍ Scribed by T.P. Hutchinson

Publisher: Elsevier Science
Year: 1983
Tongue: English
Weight: 840 KB
Volume: 15
Category: Article
ISSN: 0001-4575
DOI: 10.1016/0001-4575(83)90021-0

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✦ Synopsis

The data analysed consists of the joint distribution of severities of injury to vehicle drivers in head-on crashes. stratified according to the relative masses of the vehicles. On the basis of some fairly strong assumptions, a model is developed which results in the joint distribution being bivariate normal. The parameters are interpretable in terms of the effect of velocity change on injury severity. and the relative variability of velocity change and of injury severity at a particular velocity change. The predictions made by the model enjoy a considerable degree of success.

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Intra-accident correlations of driver injury and their application to the effect of mass ratio on injury severity

✍ T.P. Hutchinson 📂 Article 📅 1977 🏛 Elsevier Science 🌐 English ⚖ 573 KB

Data on the severities of the injuries to the drivers involved in two-vehicle crashes are presented and related to the relative masses of the vehicles. At any given mass ratio, there is found to be a positive correlation between the severities of injury to the two drivers. This arises because the re