This study presents an innovative set of models for accident prediction which are at the core
of a web‐based platform for road safety simulation and predictions. Specifically, insights into …

The rapid increase in traffic volume on urban roads, over time, has altered the global traffic
scenario. Additionally, it has increased the number of road crashes, some of which are …

Abstract The use of Accident Prediction Models (APMs) and Crash Modification Factors
(CMFs) allows Road Authorities, designers and road safety engineers to estimate the safety …

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 …

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 …

Executive Summary In 2001 the European Commission defined the ambitious objective in
their Road Safety Policy to halve the number of fatalities in EU15 from over 40,000 to 20,000 …

Crash severity prediction models enable different agencies to predict the severity of a
reported crash with unknown severity or the severity of crashes that may be expected to …

In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …

Road crash prediction models are very useful tools in highway safety, given their potential
for determining both the crash frequency occurrence and the degree severity of crashes …

Accurately modelling crashes, and predicting crash occurrence and associated severities
are a prerequisite for devising countermeasures and developing effective road safety …