Road safety modeling is a valuable strategy for promoting safe mobility, enabling the
development of crash prediction models (CPM) and the investigation of factors contributing …

This study explores how heterogeneity has been examined in transportation safety
analyses, specifically focusing on latent class modeling, which has gained popularity and …

Differences in hybrid and non-hybrid vehicle design, and potential differences in driver-
related behavior among owners of these vehicle types, can potentially have interesting …

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 …

Abstract Background: In China, despite the decrease in average road traffic fatalities per
capita, the fatality rate and injury rate have been increasing until 2015. Purpose: This study …

This study attempts to examine the main and interaction effects of roadway and weather
conditions on crash incidence, using the comprehensive crash, traffic and weather data from …

Recent studies have begun to shed more light on the crashes experienced on rural roads by
examining the influence of a road's pavement surface condition. In a bid to contribute to this …

This study presents an empirical investigation of the impacts of real-time weather conditions
on the freeway crash severity. A Bayesian spatial generalized ordered logit model was …

Improving genetic yield potential in major food grade crops such as soybean (Glycine max
L.) is the most sustainable way to address the growing global food demand and its security …

Abstract Machine learning (ML) model interpretability has attracted much attention recently
given the promising performance of ML methods in crash frequency studies. Extracting …