In recent years, traffic safety researchers have attempted to separate single-vehicle and
multi-vehicle crashes when analyzing crash severity, considering the significant differences …

The purpose of this paper is to develop and compare the preferred multinomial logit (MNL)
and ordered logit (ORL) model in identifying factors that are important in making an injury …

The objectives of this research were to:(1) identify a more suitable model for modeling injury
severity of motor vehicle drivers involved in train–motor vehicle crashes at highway–rail …

The purpose of this paper is to develop a preferred multinomial logit (MNL) and ordered logit
(ORL) model, compare their performance to identify factors that are important in making an …

The purpose of this paper is to develop a nominal response multinomial logit model (MNLM)
to identify factors that are important in making an injury severity difference and to explore the …

This study employs the mixed logit model to examine the statistically significant risk factors in
influencing driver injury severity in four crash configurations in two-vehicle rear-end crashes …

Run-off-road crashes in the United States have become a major cause of serious injuries
and fatalities. A significant portion of run-off-road crashes are single vehicle crashes that …

Multiple-vehicle crashes involving at least two vehicles constitute over 70% of fatal and
injury crashes in the US Moreover, multiple-vehicle crashes involving three or more vehicles …

As freight demand and truck traffic steadily increases in the United States, so does the
number of truck crashes. Collisions involving trucks has long been a major safety concern …

Single-vehicle crashes have been shown to differ from two-plus vehicle crashes. Several
studies have discussed the issues with modeling single-vehicle and two-plus vehicle …