Abstract Advanced Driver Assistance Systems (ADAS) have been one of the most active
areas of ITS studies in the last two decades. ADAS aim to support drivers by either providing …

This paper reviews the history of automotive technology development and human factors
research, largely by decade, since the inception of the automobile. The human factors …

Abstract Advanced Driver Assistance Systems (ADAS) are intended to enhance driver
performance and improve transportation safety. The potential benefits of these technologies …

Although car-following behavior is the core component of microscopic traffic simulation,
intelligent transportation systems, and advanced driver assistance systems, the adequacy of …

Automated vehicles (AVs) have begun to receive tremendous interest among researchers
and decision-makers because of their substantial safety and mobility benefits. Although …

The safety of automated vehicles (AVs) must be assured before their release and
deployment. The current approach to evaluation relies primarily on 1) testing AVs on public …

A Practical Resource for Understanding, Preventing, and Managing Driver Distraction It is
estimated that up to 23 percent of crashes and near-crashes are caused by driver …

Driving errors and violations are identified as contributing factors in most crash events. To
examine the role of human factors and improve crash investigations, a systematic taxonomy …

This study introduces a machine learning model for near-crash prediction from observed
vehicle kinematics data. The main hypothesis is that vehicles tend to experience discernible …

Big data has shown its uniquely powerful ability to reveal, model, and understand driver
behaviors. The amount of data affects the experiment cost and conclusions in the analysis …