Abstract The World Health Organization (WHO) identifies road traffic injuries as a global
health problem. The Eastern-Mediterranean region is particularly suffering from low traffic …

The development of Rwanda was accompanied by rapid growth of various modes of
transport and the occurrence of road traffic crashes (RTCs). RTC severity has also increased …

Road traffic accidents remain a major cause of fatalities and injuries worldwide. Effective
classification of accident type and severity is crucial for prompt post-accident protocols and …

Background/Objectives: This paper presents a Residual Neural Network (ResNet) based
framework tailored for structured traffic accident data, aiming to improve accident severity …

Due to the increasing number of deaths and injuries in traffic accidents today, it has become
necessary to examine the potential contributing risk factors. The increase in the number of …

As global urbanization accelerates, road safety remains a pressing concern, underscored by
escalating traffic accidents and fatalities. Road Traffic Injuries (RTI) have become the eighth …

The issue of underreporting traffic accidents is of utmost importance in evaluating accidents
within a specific country. The objective of this research is to develop a machine-learning …

Автоматическое машинное обучение—метод автоматизации процесса машинного
обучения, реализующий автоматический выбор подходящих алгоритмов машинного …

요 약 This study aims to propose a predictive model for the severity of traffic accidents based
on external environmental factors, which can perform a role to reduce the number of …