Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models.
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Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China.Factors associated with mortality in rear-seated adult passengers involved in fatal motor vehicle crashes on US roadways.Injury severity, vehicle safety features, and intersection crashes.A Heckman selection model for the safety analysis of signalized intersectionsFactors associated with single-vehicle and multi-vehicle road traffic collision injuries in Ireland.Time to death analysis of road traffic accidents in relation to delta V, drunk driving, and restraint systems.
P2860
Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models.
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2006 nî lūn-bûn
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2006年の論文
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2006年学术文章
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2006年学术文章
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name
Modeling crash outcome probabi ...... ical binomial logistic models.
@en
Modeling crash outcome probabi ...... ical binomial logistic models.
@nl
type
label
Modeling crash outcome probabi ...... ical binomial logistic models.
@en
Modeling crash outcome probabi ...... ical binomial logistic models.
@nl
prefLabel
Modeling crash outcome probabi ...... ical binomial logistic models.
@en
Modeling crash outcome probabi ...... ical binomial logistic models.
@nl
P2093
P1476
Modeling crash outcome probabi ...... hical binomial logistic models
@en
P2093
Do-Gyeong Kim
Keechoo Choi
P304
P356
10.1016/J.AAP.2006.06.011
P577
2006-08-22T00:00:00Z