This paper aims to present a comprehensive review and analysis to demonstrate the main
papers, journals, authors, and trends significantly contributing to the scientific output in …

The classification of vehicular crashes based on their severity is crucial since not all of them
have the same financial and injury values. In addition, avoiding crashes by identifying their …

Predicting traffic accident duration is necessary for ensuring traffic safety. Several attempts
have been made to achieve high prediction accuracy, but researchers have not considered …

Traffic accidents causing nonrecurrent congestion and road traffic injuries seriously affect
public safety. It is helpful for traffic operation and management to predict the duration of …

Predicting the duration of traffic accidents is a critical component of traffic management and
emergency response on expressways. Traffic accident information is inherently multi-mode …

Developing a high-performing traffic incident-duration prediction model is considered a key
component for evaluating the impact of these incidents on the roadway network. Various …

In order to explore the long-term effect of driving-restriction policies on the traffic congestion
level and traffic accident rate, we combined system dynamics, the back propagation neural …

Nowadays, it is of vital importance to make students aware of the problems that can be
generated by the deterioration of the environment. The purpose of this study is to establish a …

The accurate duration prediction of road traffic accident is crucial for ensuring the safe and
efficiency of transportation within social road networks. Such predictive capabilities provide …

The non/hypo-response rate of the hepatitis B vaccine among hemodialysis (HD) patients is
still high, it is of great significance to explore the influencing factors and their relationships …