Assessment of a Drowsy Driver Warning System for Heavy Vehicle Drivers: Final Report
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Summary
Results of the assessment revealed that the early prototype device had an overall positive impact on driver safety, and drivers with favoring opinions of the system tended to have an increase in safety benefits.
- Type
- dataset
- Published
- 2009-04-01
- Cited by
- 33
- References
- 90
- Access
- Open access
- OpenAlex
- https://openalex.org/W45184585
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:107056195
Keywords
Truck, Transport engineering, Warning system, Lane departure warning system, Test (biology)
References
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- Big brother : Britain's web of surveillance and the new technological order
- Napping to prevent fatigue: a policy
- Biological rhythms, sleep, and performance
- Analysis of Risk as a Function of Driving-Hour: Assessment of Driving-Hours 1 Through 11
- Alcohol Effect on Vigilance Performance
- A Review of In-Vehicle Sleepiness Detection Devices
- ROAD TESTS OF ALERTNESS VARIABLES
- Psychophysiologic Indices of Drowsiness
- Effects of Sleep Schedules on Commercial Motor Vehicle Driver Performance
- An overview of the 100-car naturalistic study and findings
- The role of actigraphy in the study of sleep and circadian rhythms.
- THE DIMENSIONS OF MOTOR VEHICLE CRASH RISK
- Engineering data compendium : human perception and performance
- AN ON-BOARD SYSTEM FOR DETECTING LAPSES OF ALERTNESS IN CAR DRIVING
- A drowsy driver detection system for heavy vehicles
Cited by
- Impact evaluation of speed regulation systems using naturalistic driving data: The EuroFOT example.
- Countermeasures That Work: A Highway Safety Countermeasure Guide for State Highway Safety Offices, Eighth Edition, 2015
- Impact Assessment of Active Safety Systems On Safety, Traffic Efficiency and Environment within the Field Operational Test EuroFOT
- The naturalistic study of driver distraction: a methods paper
- Crash Trifecta: A Complex Driving Scenario Describing Crash Causation
- Driver Performance with a Camera/Video Imaging System
- Look before you (s)leep: evaluating the use of fatigue detection technologies within a fatigue risk management system for the road transport industry.
- Driver fatigue detection using machine vision approach
- Data Fusion to Develop a Driver Drowsiness Detection System with Robustness to Signal Loss
- Commercial Drivers' Health: A Naturalistic Study of Body Mass Index, Fatigue, and Involvement in Safety-Critical Events
- Outcomes of the Introduction of a Standardized Fitness-for-Duty Evaluation of Commercial Truck Drivers on the Incidence of Low Back Injuries and Workers' Compensation Costs
- SIMPATO - the Safety Impact Assessment Tool of interactIVe
- Video-based observer rated sleepiness versus self-reported subjective sleepiness in real road driving
- Effects of a Driver Monitoring System on Driver Trust, Satisfaction, and Performance with an Automated Driving System
- Keeping Older Adults Driving Safely: A Research Synthesis of Advanced In-Vehicle Technologies, A LongROAD Study
- Predicting drowsiness-related driving events: a review of recent research methods and future opportunities
- System for Detecting Driver's Drowsiness Robust Variations of External Illumination
- Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State
- On-demand driver vigilance enhancement without explicit drowsiness detection—Further analysis of the pilot study results
- Deep convolutional neural network for drowsy student state detection
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