Road accidents are one of the most relevant causes of injuries and death worldwide, and
therefore, they constitute a significant field of research on the use of advanced algorithms …

Road safety modeling is a valuable strategy for promoting safe mobility, enabling the
development of crash prediction models (CPM) and the investigation of factors contributing …

The occurrence rate of death and injury due to road traffic accidents is rising increasingly
globally day by day. For several decades, the focus of research has been on getting a …

Traffic accidents are a major concern worldwide, since they have a significant impact on
people's safety, health, and well-being, and thus, they constitute an important field of …

Traffic accident is considered as one of main causes for traffic congestion in cities. There are
many causal factors that may give rise to traffic accidents, eg driver characteristics, road …

Abstract Collection of Annual Average Daily Traffic (AADT) is of major importance for a
number of applications in road transport urban and environmental studies. However, traffic …

Statistics affirm that almost half of deaths in traffic accidents were vulnerable road users,
such as pedestrians, cyclists, and motorcyclists. Despite the efforts in technological …

Long short-term memory (LSTM) is becoming increasingly popular in the short-term flow. In
order to develop high-quality prediction models, it is worth investigating the LSTM potential …

This paper presents a comprehensive literature review on road traffic accident prediction
models (APMs) and crash modification factors (CMFs). The focus is on motorways and …

Introduction The major goal of the present research is to determine hotspot areas by the
generation of a geospatial model and develop a model associated with pedestrian-vehicle …