United States Department of Transportation
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A novel approach to modeling and predicting crash frequency at rural intersections by crash type and injury severity level.
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2015-04-01
[PDF-1.23 MB]
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Abstract:Safety at intersections is of significant interest to transportation professionals due to the large number of
possible conflicts that occur at those locations. In particular, rural intersections have been recognized as
one of the most hazardous locations on roads. However, most models of crash frequency at rural
intersections, and road segments in general, do not differentiate between crash type (such as angle, rear-end or sideswipe) and injury severity (such as fatal injury, non-fatal injury, possible injury or property
damage only). Thus, there is a need to be able to identify the differential impacts of intersection-specific
and other variables on crash types and severity levels. This report builds upon the work of Bhat et al.
(2014) to formulate and apply a novel approach for the joint modeling of crash frequency and
combinations of crash type and injury severity. The proposed framework explicitly links a count data
model (to model crash frequency) with a discrete choice model (to model combinations of crash type and
injury severity), and uses a multinomial probit kernel for the discrete choice model and introduces
unobserved heterogeneity in both the crash frequency model and the discrete choice model. The results
show that the type of traffic control and the number of entering roads are the most important determinants
of crash counts and crash type/injury severity, and the results from our analysis underscore the value of
our proposed model for data fit purposes as well as to accurately estimate variable effects.
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