We need a proper mechanism to manage issues related to our environment, economy, and
society to proceed toward sustainability. Many researchers have worked for sustainable …

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 …

Due to the burgeoning demand for freight movement, freight related road safety threats have
been growing substantially. In spite of some research on the factors influencing freight truck …

Crash injury severity prediction is a promising research target in traffic safety. Traditionally,
various statistical methods were used for modeling crash injury severities. In recent years …

In this paper, an artificial neural network (ANN) was used to predict the injury severity of
traffic accidents based on 5973 traffic accident records occurred in Abu Dhabi over a 6‐year …

Statistical regression models, such as logit or ordered probit/logit models, have been widely
employed to analyze injury severity of traffic accidents. However, most regression models …

Understanding the circumstances under which drivers and passengers are more likely to be
killed or more severely injured in an automobile accident can help improve the overall …

Considerable research has been carried out in recent years to establish relationships
between crashes and traffic flow, geometric infrastructure characteristics and environmental …

The study presented in this paper investigated the possibility of using support vector
machine (SVM) models for crash injury severity analysis. Based on crash data collected at …

The Poisson or negative binomial regression model has been employed to analyze vehicle
accident frequency for many years. However, these models have the pre-defined underlying …