The fast-rising number of vehicles on the road has resulted in a matching number of traffic
accidents, especially during long holidays when people travel back home. A better …

Predicting the severity of traffic accidents and analyzing the significant influencing factors of
accidents are crucial research topics in the field of road safety. Nevertheless, the inherent …

The objective of this research is to enhance road deaths prediction using an ensemble
learning approach. By using three machine learning algorithms, which are K-Nearest …

In recent years, road accidents have been the predominant factor for the increase in loss of
lives and severe injuries. Analyzing the factors underlying for the cause of fatality has …

Road accidents is a global issue that cause deaths and injuries besides other direct and
indirect losses. Countries and international organisations have designed technologies …

Road traffic crashes (RTC) have become a significant cause of fatalities worldwide. The
number of fatalities resulting from accidents is increasing rapidly each day. Therefore, it is …

Despite the effort of the authorities and researchers, there has been no sign of decreasing in
the number of fatal crashes annually. To analyze the deadly collisions, researchers have …

Traffic accidents are among the most critical issues facing the world as they cause many
deaths, injuries, and fatalities as well as economic losses every year. Accurate models to …

The rapid growth of urbanization and motorization has significantly increased traffic crashes,
leading to both loss of life and diminished quality of life for crash survivors and their families …

The analysis of road crash data has long been used as a premise for influencing the road
and automobile designs and guiding the implementation of various policies with the view to …