… to increase driver injury severity in multi-vehicle crashes. They also … , the classification of truck
drivers, considering driver-related … In the present study, data on truck-involved fatal crashes …

… in truck-involved crashes, this paper provides some valuable … current study, the target variable
is the injury severity of drivers, … using a non-parametric classification tree model,” Saf. Sci., …

… The target variable in this study was the truck occupant injury severity represented by the …
Utilizing machine learning models to predict the car crash injury severity among elderly drivers. …

… analyze the injury severity of large truck-involved run-off-road … driver and vehicle-related
factors on the severity of injuries in … completes the classification of crash injury severity based on …

… of truck driver injury severity in truck-involved crashes based … /tractor) using ten years (2007–2016)
of Wyoming crash data … , functional classification of the highway, crash severity, and …

… In this study, the injury severity of the truck driver is chosen to be the dependent variable.
Furthermore, mixed logit (random parameters logit) modeling is used to determine the …

… categories, driver characteristics, especially driving behavior, … method, while a Classification
and Regression Tree (CART) … a non-parametric classification method or as a non-parametric …

… This study aims to analyze the injury severity of large-truck-involved fatal crashes in the US
and in … In the current study, we aim at improving the non-parametric approach by applying a …

… The aims of this study were investigating the effects of heavy trucks' presence in … This study
investigated the driver injury severity type involving single heavy trucks using Victoria crash …

… The current study focuses on large truck-involved crashes to … both parametric RPBL and
non-parametric SVM to identify … This research studies injury severity in truck-involved crashes …