Objective An up-to-date meta-analysis of experimental research on talking and driving is
needed to provide a comprehensive, empirical, and credible basis for policy, legislation …

Objective: The aim of this study was to quantify the impact of traffic density and verbal tasks
on takeover performance in highly automated driving. Background: In highly automated …

Motor vehicle crashes are the leading cause of death in adolescents, and drivers aged 16–
19 are the most likely to die in distracted driving crashes. This paper provides an overview of …

The use of mobile phones while driving remains a major human factors issue in the transport
system. A significant safety concern is that driving while distracted by a mobile phone …

Objective: To propose a driver attention theory based on the notion of driving as a satisficing
and partially self-paced task and, within this framework, present a definition for driver …

Introduction Visual–manual (VM) phone tasks (ie, texting, dialing, reading) are associated
with an increased crash/near-crash risk. This study investigated how the driving context …

Naturalistic driving studies show that drivers engaged in complex visual-manual tasks face
an increased risk of a crash or near-crash. Tasks that require many glances and a high …

Drivers may modulate their secondary behavior based on roadway or driving demand, but
there is little research capturing secondary behaviors in a range of driving situations among …

Objective: The adaptive behavior of mobile phone–distracted drivers has been a topic of
much discussion in the recent literature. Both simulator and naturalistic studies suggest that …

Distracted driving is among the leading causes of roadway crashes worldwide. However,
due to limitations of police-reported crash data, it is often challenging to understand the …