Safety assessment of road sections and networks have historically relied on police-reported
crash data. These data have several noteworthy and significant shortcomings, including …

Abstract Connected and Automated Vehicles (CAVs) can potentially improve the
performance of the transportation system by reducing human errors. This paper investigates …

Advancements in data collection and processing methods have produced large databases
containing high quality vehicular data. Despite this, conventional vehicle-vehicle collisions …

The primary objective of this study is to investigate the relationship between field-measured
conflicts and simulated conflicts estimated from the surrogate safety assessment model …

Recent advancement in traffic surveillance systems has allowed for obtaining more detailed
vehicular movement such as individual vehicle trajectory data. Understanding the …

Road traffic crashes are a major safety problem, with one of the leading factors in crashes
being human error. Automated and connected vehicles (CAVs) that are equipped with …

In this paper, we propose a novel methodology to define and estimate a surrogate measure.
By imposing a hypothetical disturbance to the leading vehicle, the following vehicle's action …

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 …

This paper presents a methodology that could support researchers and engineers in the
important and original issue of the simulation of crashes and the evaluation of …

Road crashes are one of the critical issues in the transportation sector. Crash studies aim to
establish the relationship of crash occurrences with driver, environment and traffic factors …