Purpose Over the past 10 years, building on road infrastructure data, crash prediction
models (CPMs) have become fundamental scientific tools for road safety management …

The present study has investigated the relationship between traffic volume and crash
numbers by means of meta-analysis, based on 521 crash prediction models from 118 …

This study investigates factors that significantly contribute to the severity of driver injuries
resulting from single-vehicle run-off-road (SV ROR) crashes. A mixed logit model approach …

The roadway safety management process plays an important role in the national efforts for
improving road safety along the Italian freeway network. In 2016, 8.3% of the overall Italian …

Run-off-road crashes are one of the most common crash types, especially in rural roadway
environments contributing significantly to fatalities and severe injuries. These crashes are …

The objective of this paper is to study the contributors influencing ran-off-road (ROR) crash
severities in a setting that has not been analysed in the literature, namely on freeways not …

Analyzing crash data is a complex and labor-intensive process that requires careful
consideration of multiple interdependent modeling aspects, such as functional forms …

Statistical models of expected crash frequency are referred to as Safety Performance
Functions (SPFs) in the first edition of the American Association of State Highway and …

The severity of roadway departure crashes mainly depends on the roadside features,
including the sideslope, fixed-object density, offset from fixed objects, and shoulder width …

Roadway departure (RwD) crashes, comprising run-off-road (ROR) and cross-
median/centerline head-on collisions, are one of the most lethal crash types. Nationwide …