Severe crashes are causing serious social and economic loss, and because of this,
reducing crash injury severity has become one of the key objectives of the high speed …

Understanding the underlying relationship between crash injury severity and factors such as
driver's characteristics, vehicle type, and roadway conditions is very important for improving …

In traffic safety studies, crash frequency modeling of total crashes is the cornerstone before
proceeding to more detailed safety evaluation. The relationship between crash occurrence …

To reduce injuries in road crashes, better understanding is needed between the relationship
of injury severity and risk factors. This study seeks to identify the contributing factors affecting …

This study simultaneously models crash severity of both parties in two-vehicle accidents at
signalized intersections in Taipei City, Taiwan, using a novel bivariate generalized ordered …

Crashes present different collision types. There usually exist unobserved risk factors which
could jointly affect crash rates of different types, resulting in correlation and heterogeneity …

This study uses highway accident data collected in the State of Washington, between 2011
and 2013, to study the factors that affect accident injury-severities. To account for the fixed …

In this study, a multivariate random-parameters Tobit model is proposed for the analysis of
crash rates by injury severity. In the model, both correlation across injury severity and …

This study presents multi-level analyses for single-and multi-vehicle crashes on a
mountainous freeway. Data from a 15-mile mountainous freeway section on I-70 were …

This paper employs a correlated random parameters ordered probit modeling framework to
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …