We present a model for visual behavior that can simulate the glance pattern observed around driver-initiated, non-critical disengagements of Tesla’s Autopilot (AP) in naturalistic highway driving. Drivers may become inattentive when using partially-automated driving systems. The safety effects associated with inattention are unknown until we have quantitative reference on how changes automation. is based data from 290 human initiated AP disengagement epochs. Glance duration and transition...

The emergence of partial-automation in consumer vehicles is reshaping the driving task, driver role, and subsequent behavior. When using partial-automation, drivers delegate operational control dynamic task to automation system, while remaining responsible for monitoring, object/event detection, response selection, execution. Hence, has become a collaboration between systems that characterized by Transfers Control (TOC). This study aimed assess how leverage real-world driving, identify...

We quantify the time-course of glance behavior and steering wheel control level in driver-initiated, non-critical disengagements Tesla Autopilot (AP) naturalistic driving. Although widely used, there are limited objective data on impact AP driver behavior. offer insights from 19 vehicle owners when using transitioning to manual Glance were coded for 298 highway driving disengagements. The average proportion off-road glances decreased 36% was engaged 24% while manually after disengagement....

Objective Advanced driver assistance systems are increasingly available in consumer vehicles, making the study of drivers' behavioral adaptation and impact automation beneficial for driving safety. Concerns over driver's being out-of-the-loop, coupled with known limitations automation, has led research to focus on time-critical, system-initiated disengagements. This used real-world data assess response to, recovery from, automation-initiated disengagements by quantifying changes visual...

Forward collision warning (FCW) systems typically employ forward sensing technologies to identify possible collisions and provide an alert the driver in event they have not recognized a threat. These demonstrated safety benefits. However, because base rate of is low, sensitive FCW can high alarms situations with no or low probability collision, which may negatively impact responsiveness satisfaction. We examined over 2000 naturally occurring FCWs two modern vehicles as part naturalistic...

Objective Adaptive cruise control (ACC) and lane centering are usually marketed as convenience features but may also serve a safety purpose. However, given that speeding is associated with increased crash risk worse outcomes, the extent to which driver's speed using ACC reduce maximum benefit they can obtain from this system. The current study was conducted characterize behavior among drivers adaptive similar system added centering.Methods We recruited 40 licensed adult Boston,...

<h3>Importance</h3> One mechanism for teenagers' elevated crash risk during independent driving may be inadequate learner experience. <h3>Objective</h3> To determine how driver experience was associated with the first year of driving. <h3>Design, Setting, and Participants</h3> Youth aged 15.5 to 16.1 years at recruitment were eligible participate. Participants' vehicles instrumented sensors, recorded period through 1 Data collected from January 2011 August 2014 in southwestern Virginia....

Previous research indicates that drivers may forgo their supervisory role with partial-automation. We investigated if this behavior change is the result of time automation was active. Naturalistic data collected from 16 Tesla owners driving under free-flow highway conditions. coded glance location and steering-wheel control level around Autopilot (AP) engagements, driver-initiated AP disengagements, steady-state use in-between engagement disengagement. Results indicated immediately after...

Increasing availability of and extensive investments toward automation in consumer vehicles call for a better understanding public perceptions acceptance. This study presents five-year series large-scale surveys (N=17,548, average 3,510 participants/year) on knowledge acceptance vehicle the United States. Results suggest continued hesitance use self-driving vehicles, with willingness to increasing sharply under hypothetical conditions around inability drive added safety assurance. While...

Naturalistic driving (ND) methods may be particularly useful for research on young driver crash risk. Novices are not safe drivers initially, but tend to improve rapidly, although the pace of learning is highly variable. However, knowledge lacking about how best reduce curve and variability in development judgment. A great deal has been learned from recent naturalistic studies that have included drivers, providing objective information nature risk factors contribute safety critical events....