Introduction: Engagement in prosocial and altruistic on-road behaviors is a new area of
research with potential safety benefits for road users. This paper systematically reviewed …

Naturalistic driving studies (NDS) are increasingly being used to investigate driver on-road
behavior. In parallel, smartphones are gaining interest as data acquisition systems (DAS) in …

Background The emergence of partial-automation in consumer vehicles is reshaping the
driving task, the driver role, and subsequent driver behavior. When using partial-automation …

Concussions can impact cognitive processes necessary for driving. Young adults, a group
who are more likely to engage in risky behaviors, have limited driving experience and a …

There will be a time when automated vehicles coexist with human-driven ones.
Understanding how drivers assess driving risks and modeling their differences is crucial for …

Introduction: Teen crash involvement is usually higher than other age groups, and they are
typically overrepresented in car crashes. To infer teen drivers' understanding of crash …

Traditional surrogate measures of safety (SMoS) cannot fully consider the crash mechanism
or fail to reflect the crash probability and crash severity at the same time. In addition, driving …

Mixed-flow intersections are prevailing in many developing countries such as China and
India. At mixed-flow intersections, there is no clear lane discipline or regular trajectories …

In this work, we utilize a dynamic Bayesian network for an inferential analysis of driving-
related risks based on our assessment of real-world driving data. On-road driving tests are …

Increasing road traffic accidents and fatalities, road traffic safety has become a major health
concern all over the world. Over the years several studies have been carried out to enhance …