Convergent validity of vision based technology (VBT) among professional bus drivers

Shichrur, Rachel; Ratzon, Navah Z.

doi:10.1016/j.jsr.2022.07.007

Cited by 2 publications

(3 citation statements)

References 21 publications

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“…Through the Drive-Fun intervention, participants learned strategies for correct gaze focus while driving. Such strategies have been demonstrated to enhance driving performance in previous studies [ 35 , 53 , 54 ] and likely contributed to the observed improvements in driving performance in the current study, such as better attentional allocation and reduced fixation durations on irrelevant stimuli (e.g., the dashboard), as well as increased fixation durations on relevant stimuli (e.g., traffic lights, pedestrians). These findings are consistent with the results of Epstein et al’s study (2022), in which improvements were also reported in the duration of visual focus on stimuli during driving practice in the simulator.…”

Section: Discussionsupporting

confidence: 55%

Reducing Driving Risk Factors in Adolescents with Attention Deficit Hyperactivity Disorder (ADHD): Insights from EEG and Eye-Tracking Analysis

Keren,

Fisher,

Hamde

et al. 2024

Sensors

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Adolescents with attention deficit hyperactivity disorder (ADHD) face significant driving challenges due to deficits in attention and executive functioning, elevating their road risks. Previous interventions targeting driving safety among this cohort have typically addressed isolated aspects (e.g., cognitive or behavioral factors) or relied on uniform solutions. However, these approaches often overlook this population’s diverse needs. This study introduces the “Drive-Fun” innovative intervention (DFI), aimed at enhancing driving skills among this vulnerable population. The intervention was tested in a pilot study including 30 adolescents aged 15–18, comparing three groups: DFI, an educational intervention, and a control group with no treatment. Assessments included a driving simulator, EEG, and Tobii Pro Glasses 2. Evaluation was conducted pre- and post-intervention and at a 3-month follow-up. Results indicated that the DFI group significantly improved in the simulated driving performance, attentional effort, and focused gaze time. The findings underscore that holistic strategies with personalized, comprehensive approaches for adolescents with ADHD are particularly effective in improving driving performance. These outcomes not only affirm the feasibility of the DFI but also highlight the critical role of sensor technologies in accurately measuring and enhancing simulator driving performance in adolescents with ADHD. Outcomes suggest a promising direction for future research and application.

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Section: Discussionsupporting

confidence: 55%

Reducing Driving Risk Factors in Adolescents with Attention Deficit Hyperactivity Disorder (ADHD): Insights from EEG and Eye-Tracking Analysis

Keren,

Fisher,

Hamde

et al. 2024

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…The current study concludes that the VBT is a more effective assessment tool for identifying drivers' behavior patterns and characteristics within a reasonable time frame. Support for adopting this technology had been previously reinforced by the finding that the VBT total risk score was the only significant contributing factor to predicting crash risk; for each point of increase, the odds of being involved in a crash increased by a factor of 1.55 [16]. The environmental advantages of vision-based technologies over relying solely on GPS are well known in the literature.…”

Section: Discussionmentioning

confidence: 98%

“…Manufactured by Mobileye®, the VBT system performs real-time scene interpretation, analyzing different objects on the road, classifying them, and determining if action is needed. These environmental factors are integrated into the measured data as indicators that serve to assess the risk of a car crash [16].…”

Section: Driving Safety-driver-vehicle-environment Interactionmentioning

confidence: 99%

Optimal Duration of In-Vehicle Data Recorder Monitoring to Assess Bus Driver Behavior

Shichrur,

Ratzon

2023

Sensors

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This study examined the optimal sampling durations for in-vehicle data recorder (IVDR) data analysis, focusing on professional bus drivers. Vision-based technology (VBT) from Mobileye Inc. is an emerging technology for monitoring driver behavior and enhancing safety in advanced driver assistance systems (ADASs) and autonomous driving. VBT detects hazardous driving events by assessing distances to vehicles. This naturalistic study of 77 male bus drivers aimed to determine the optimal duration for monitoring professional bus driving patterns and the stabilization point in risky driving events over time using VBT and G-sensor-equipped buses. Of the initial cohort, 61 drivers’ VBT data and 66 drivers’ G-sensor data were suitable for analysis. Findings indicated that achieving a stable driving pattern required approximately 130 h of VBT data and 170 h of G-sensor data with an expected 10% error rate. Deviating downward from these durations led to higher error rates or unreliable data. The study found that VBT and G-sensor data are both valuable tools for driving assessment. Moreover, it underscored the effective application of VBT technology in driving behavior analysis as a way of assessing interventions and refining autonomous vehicle algorithms. These results provide practical recommendations for IVDR researchers, stressing the importance of adequate monitoring durations for reliable and accurate outcomes.

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Convergent validity of vision based technology (VBT) among professional bus drivers

Cited by 2 publications

References 21 publications

Reducing Driving Risk Factors in Adolescents with Attention Deficit Hyperactivity Disorder (ADHD): Insights from EEG and Eye-Tracking Analysis

Reducing Driving Risk Factors in Adolescents with Attention Deficit Hyperactivity Disorder (ADHD): Insights from EEG and Eye-Tracking Analysis

Optimal Duration of In-Vehicle Data Recorder Monitoring to Assess Bus Driver Behavior

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