This study employs the correlated mixed logit models with heterogeneity in means by
accounting for temporal instability to estimate both injury severity and vehicle damage. Two …

The severity of the two-vehicle crash is closely related to the characteristics of both the struck
and striking vehicles. Ignoring vehicle roles may lead to biased results. Thus, this study used …

Traditional crash-severity modeling uses detailed data gathered after a crash has occurred
(number of vehicles involved, age of occupants, weather conditions at the time of the crash …

This study delves into the factors that contribute to the severity of single-vehicle crashes,
focusing on enhancing both computational speed and model robustness. Utilizing a mixed …

This study investigated the impact of traffic violations on crash injury severity on Wyoming's
interstate highways. A random parameters multinomial logit (MNL) model with heterogeneity …

Temporal variation has been recognized as one of the major sources of unobserved
heterogeneity in traffic safety research that has not been completely addressed. Overlooking …

BACKGROUND The relationships between crash injury severity (CIS) and potential
explanatory factors such as driver characteristics, vehicle type, and road conditions has long …

Recent studies in the area of highway safety have demonstrated the usefulness of logit
models for modeling crash injury severities. Use of these models enables one to identify and …

Random parameters logit models have become an increasingly popular method to
investigate crash-injury severities in recent years. However, there remain potential elements …

Crash severity model is a classical topic in road safety research. The multinomial logit (MNL)
model, as a basic discrete outcome method, is widely applied to measure the association …