The aim of the current research was to develop models to predict the severity of accidents on
rural roads in Tehran province, Iran. In this regard, using accident data from 2017 to 2020 …

Traffic accidents occur due to a combination of factors that lead to casualties and injuries. By
identifying the most effective factors, it is possible for safety authorities to provide appropriate …

This study assesses the relationship that existed between various variables and their
subvariables on rural roads in Qom, Iran, using statistical analysis and calculates the …

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 …

This study focuses on predicting the number and severity of rural accidents using nine
accident-related variables by the multi-layer perceptron (MLP) approach as a type of artificial …

The purpose of this research was to develop statistical and intelligent models for predicting
the severity of road traffic accidents (RTAs) on rural roads. Multiple Logistic Regression …

Road safety is of major interest for highway and traffic engineers worldwide. In Jordan, road
networks have recently displayed relatively high traffic volumes, specifically in urban centers …

The purpose of this study was to develop models to predict the severity of pedestrian
accidents on rural roads of Guilan, Iran. Therefore, the probability of occurrence of any type …

the purpose of road accidents forecasting is to analyze the tendency of road accidents under
existing road traffic conditions, evaluate the feasibility and practical effectiveness of traffic …

In most countries of the world, saving human lives is one of the most important and first
factors that have been considered by politicians. Among the causes of death, road accident …