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 …

Investment in public transport is on the rise as many cities around the world aim to reduce
their carbon footprint and improve population health. One such investment is building or …

Real-time prediction of crash risk can support traffic incident management by generating
critical information for practitioners to allocate resources for responding to anticipated traffic …

Non-recurrent traffic congestion arising from traffic incidents is unpredictable but should be
addressed efficiently to mitigate its adverse impacts on safety and travel time reliability …

Sample size plays a critical role in an Extreme Value Theory (EVT) model for estimating
crash risks from traffic conflicts. Many studies have raised concerns regarding sample size …

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 …

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 …

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 …

Freeway service patrol (FSPs) programs have been considered as an effective tool for traffic
incident management in minimizing the adverse effects of traffic incidents. In this study …