Objective: This article provides a review of recent models of driver behavior in on-road
collision situations. Background: In efforts to improve traffic safety, computer simulation of …

There is a need to extend and refine the use of crash surrogates to enhance safety analyses.
This is particularly true given opportunities for data collection presented by naturalistic …

Safety evaluation based on historical crashes usually has a lot of limitations. In previous
studies, near-crashes are considered as surrogate data for safety evaluation. One challenge …

There has been considerable research conducted over the last 40 years using traffic safety-
related events to support road safety analyses. Dating back to traffic conflict studies from the …

This paper presents a probabilistic and holistic prediction algorithm for vehicle states using
multisensor fushion. Three concerns are mainly considered in this paper, ie, reliable and …

To provide a better understanding of individual driver's driving style classification in a
traditional and a CV environment, spatiotemporal characteristics of vehicle trajectories on a …

Automated vehicles have the potential to bring about transformative safety, mobility, energy,
and environmental benefits to the surface transportation system. They are also being …

This study responds to the need to screen events observed during naturalistic driving
studies to derive a set of crashes and near crashes with common etiologies; these crashes …

Roadside collisions are a significant problem faced by all countries. Urbanisation has led to
an increase in traffic congestion and roadside vehicle collisions. According to the UK …

Objective: Systems that can warn the driver of a possible collision with a vulnerable road
user (VRU) have significant safety benefits. However, incorrect warning times can have …