In this paper, a neural network (NN) model was developed to predict intersection crashes in
Macomb County of the State of Michigan (MI), USA. The predictive capability of the NN …

This study contributes to the area of safety of signalized intersections by identifying the
geometric characteristics that affect the different types of crashes. The frequency of crashes …

In spite of significant advances in highways safety, a lot of crashes in high severities still
occur in highways. Investigation of influential factors on crashes enables engineers to carry …

Road traffic accidents are a significant public health issue, accounting for almost 1.3 million
deaths worldwide annually, with millions more experiencing non-fatal injuries. A variety of …

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 …

The occurrence rate of death and injury due to road traffic accidents is rising increasingly
globally day by day. For several decades, the focus of research has been on getting a …

Road Crash losses have been on an growing trend for the preceding decade or so in India.
consequently traffic safety organization has emerged as a topic of argument for researchers …

Traffic accidents are among the major causes of death in the Sultanate of Oman, especially
in the age group of 16 to 29. The fatality rate per 10, 000 vehicles appears to be one of the …

Modeling of traffic crashes is a complex undertaking. Previous studies have used a variety of
techniques to analyze crashes. The choice of the technique to be used in any specific …

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 …