This data dictionary describes the video reduction variables available in the Second Strategic Highway Research Program (SHRP 2) Naturalistic Driving Study data set for use by the research community. The data dictionary ...

This study investigated driver distraction and how the use of handheld (HH), portable hands-free (PHF), and integrated hands-free (IHF) cell phones affected the visual behavior of motor vehicle drivers. Method A naturalistic ...

Using video monitoring technologies, we investigated teenage driving risk variation during the first 18 months of independent driving. Driving data were collected on 42 teenagers whose vehicles were instrumented with ...

Distracted driving has become a topic of critical importance to driving safety research over the past several decades. Naturalistic driving data offer a unique opportunity to study how drivers engage with secondary tasks ...

At the heart of traffic safety is the identification of factors that lead to crashes. With this knowledge, interventions can be developed to mitigate or prevent these factors from occurring in the future. Post hoc ...

It is hypothesized that intense events such as crashes could influence driver behavior and driving risk. This study evaluated the influences of crash events on driver behavior and driving risk using data from the 100-Car ...

The majority of research into age-related declines in driving performance has concentrated on light vehicle, non-commercial drivers. However, the aging of the commercial motor vehicle (CMV) workforce raises a number of ...

Naturalistic driving studies rely on human data reductionists to manually review and annotate driving behaviors. This work is time-consuming, and algorithms that could scan and categorize video data could make the data ...

Visual attention is a key component of the driving task. Identifying times when the driver is not looking toward the forward views has been shown to be a successful indicator of distracted driving (Olson, Hanowski, Hickman, ...

Over the last decade, naturalistic driving studies have provided significant insight into issues pertaining to the roles of distraction, inattention, and drowsiness in crash risk. New techniques have been developed for ...