In this literature review, theories of and research on driver behavioral adaptation are examined in light of advanced driver assistance systems (ADAS) that support driving tasks formerly managed exclusively by the driver.
This report investigates the possibilities of using embedded vehicle sensor technology to support identification of safety related defects to assist stakeholders with vehicle safety oversite.
Since 2006, the AAA Foundation for Traffic Safety has been sponsoring research to better understand traffic safety culture. The Foundation’s long-term term vision is to create a “social climate in which traffic safety is highly valued and rigorously pursued.” In 2008, the AAA Foundation conducted the first Traffic Safety Culture Index (TSCI), a nationally representative survey, to begin to assess a few key indicators of the degree to which traffic safety is valued and is being pursued. The 2015 TSCI report continues this groundbreaking work.
This study investigated the number of motor vehicle crashes, injuries, and
deaths that occurred in the United States in years 2010-2014 in relation to
weather conditions and roadway surface conditions.
This report synthesizes the knowledge about older drivers and advanced in-vehicle technologies, focusing on three areas: use, perception, and outcomes.
Findings from this report originate from an extensive synthesis of the literature on self-regulation of driving among older adults. The synthesis builds on earlier reviews of the literature by the authors, as well as extends literature findings on specific aspects self-regulation.
Fatigue, or drowsiness, is known to degrade driving performance by slowing reaction time, impairing judgment and situational awareness, and increasing attentional lapses as well as the occurrence of microsleeps. The purpose of the present study was to provide updated estimates of the prevalence of selfreported drowsy driving using data from a nationally-representative survey of drivers conducted in 2015.
This research represents the third phase of the Foundation’s comprehensive investigation into cognitive distraction, which shows that new hands-free technologies can mentally distract drivers even if their eyes are on the road and their hands are on the wheel.
This research examines the impact of voice-based interactions using three different intelligent personal assistants (Apple’s Siri, Google’s Google Now for Android phones, and Microsoft’s Cortana) on the cognitive workload of the driver.
A synthesis of qualitative studies of older adults’ preferences concerning communication with their healthcare providers about driving, including driving safety and planning for future “driving retirement".
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