Spatiotemporal instability analysis of injury severities in truck-involved and non-truck-involved crashes
The truck involvement could potentially increase the crash frequency and resulted injury
outcomes and it is of great necessity to understand the similarities and differences in the …
outcomes and it is of great necessity to understand the similarities and differences in the …
A comparison between artificial neural network and hybrid intelligent genetic algorithm in predicting the severity of fixed object crashes among elderly drivers
Abstract Run-off-road (ROR) crashes have always been a major concern as this type of
crash is usually associated with a considerable number of serious injury and fatal crashes. A …
crash is usually associated with a considerable number of serious injury and fatal crashes. A …
Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach
Earlier research on injury severity of truck-involved crashes focused primarily on single-truck
and multi-vehicle crashes with truck involvement, or investigated truck-involved injury …
and multi-vehicle crashes with truck involvement, or investigated truck-involved injury …
[HTML][HTML] Assessment of the level of road crash severity: comparison of intelligence studies
In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …
models inform researchers about the severity of a crash based on a variety of criteria. To …
A review of truck driver persona construction for safety management
H Li, W Wang, Y Yao, X Zhao, X Zhang - Accident Analysis & Prevention, 2024 - Elsevier
The trucking industry urgently requires comprehensive methods to evaluate driver safety,
given the high incidence of serious traffic accidents involving trucks. The concept of a “truck …
given the high incidence of serious traffic accidents involving trucks. The concept of a “truck …
Evaluation of contributing factors affecting number of vehicles involved in crashes using machine learning techniques in rural roads of Cosenza, Italy
G Guido, S Shaffiee Haghshenas… - Safety, 2022 - mdpi.com
The evaluation of road safety is a critical issue having to be conducted for successful safety
management in road transport systems, whereas safety management is considered in road …
management in road transport systems, whereas safety management is considered in road …
[HTML][HTML] Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey
Motor vehicle crashes are the leading cause of the death of teenagers in the United States.
Young drivers have shown a higher propensity to get involved in crashes due to using a …
Young drivers have shown a higher propensity to get involved in crashes due to using a …
Modeling of single-vehicle and multi-vehicle truck-involved crashes injury severities: A comparative and temporal analysis in a developing country
Truck-involved crashes persist as a significant concern, yielding noteworthy human
casualties and causing economic ramifications, particularly in developing countries. This …
casualties and causing economic ramifications, particularly in developing countries. This …
Combined latent class and partial proportional odds model approach to exploring the heterogeneities in truck-involved severities at cross and T-intersections
Although the fatal rate of passenger vehicle-involved crashes has decreased in the United
States, the fatal rate of truck-involved crashes has increased. This has, in recent years …
States, the fatal rate of truck-involved crashes has increased. This has, in recent years …
Discovering insightful rules among truck crash characteristics using apriori algorithm
J Hong, R Tamakloe, D Park - Journal of advanced …, 2020 - Wiley Online Library
This study aims to discover hidden patterns and potential relationships in risk factors in
freight truck crash data. Existing studies mainly used parametric models to analyze the …
freight truck crash data. Existing studies mainly used parametric models to analyze the …