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HUMAN FACTORS, 1994,36(2),315-326 Fatal Accidents among Car and Truck Drivers: Effects of Fatigue, Age, and Alcohol Consumption
"... Fatigue increases the risk of an accident if the driver, on recognizing symptoms of fatigue, does not stop driving. We studied whether a tendency to continue the current activity and complete the task especially affects younger drivers, who are more susceptible to motivational pressures at the wheel ..."
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Fatigue increases the risk of an accident if the driver, on recognizing symptoms of fatigue, does not stop driving. We studied whether a tendency to continue the current activity and complete the task especially affects younger drivers, who are more susceptible to motivational pressures at the wheel in general. The data con-sisted of Finnish in-depth studies on 586 single-vehicle and 1357 multiple-vehicle accidents in which at least one vehicle occupant died. When excluding alcohol-related cases, the results showed that, first, trailer-truck drivers who either fell asleep or were tired to a degree that contributed to the accident were younger than those involved in the other fatalities. For car drivers, the proportion of fatigue-related cases was approximately constant in each age group, but a variation was seen when studied according to the time of day of the accident, mainly resulting from two distinct peaks. The first was in young drivers 18 to 20 years old between midnight and 6:00 a.m. The other occurred in drivers 56 years and older during the late afternoon hours. These data also indicate that in terms of fatal accidents, fatigue and alcohol seem to be less of a problem for truckers than for car drivers.
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"... This project developed a prototype integrated system that combines machine vision-based drowsy driver monitoring technology and analysis of operator/vehicle performance parameters to reliably assess driver drowsiness. The purpose of this system will be to reliably quantify commercial motor vehicle d ..."
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This project developed a prototype integrated system that combines machine vision-based drowsy driver monitoring technology and analysis of operator/vehicle performance parameters to reliably assess driver drowsiness. The purpose of this system will be to reliably quantify commercial motor vehicle driver drowsiness and provide a real-time warning to the driver and/or a control output to the commercial motor vehicle or other systems as warranted. The work performed under the project included: • Survey of the literature associated with the detection and monitoring of bouts of fatigue and drowsiness. • Preliminary focus group research to gather driver preferences for drowsiness feedback and warnings. • Machine vision-based eye closure monitor trade study. Development of an integrated prototype Driver Drowsiness Monitoring System. • On-road evaluation of the Driver Drowsiness Monitoring System.
AN ON-ROAD INVESTIGATION OF COMMERCIAL MOTOR VEHICLE OPERATORS AND SELF-RATING OF ALERTNESS AND TEMPORAL SEPARATION AS INDICATORS OF DRIVER FATIGUE
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, 2004
"... Title and sub-title: Cost-effective infrastructure measures on rural roads ..."
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Title and sub-title: Cost-effective infrastructure measures on rural roads
FATIGUE IN TRUCK ACCIDENTS iiiCONTENTS
, 1989
"... Based on Coroners ' verdicts, fatigue of car or truck drivers was a contributing factor in 9.1 % of fatal accidents involving trucks. Based on the presence of factors such as extended driving hours, falling asleep at the wheel, comments about tiredness, driving right of centre and night-time dr ..."
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Based on Coroners ' verdicts, fatigue of car or truck drivers was a contributing factor in 9.1 % of fatal accidents involving trucks. Based on the presence of factors such as extended driving hours, falling asleep at the wheel, comments about tiredness, driving right of centre and night-time driving, the authors estimated fatigue contributed to 19.9 % of the accidents. There were approximately equal numbers of fatigued car drivers and truck drivers. An analysis of casualty and fatal truck accidents by time of day (adjusted for exposure) showed that accident risks were highest during the night on all five Victorian highways studied. Driver fatigue is one of the possible factors underlying this pattern of elevated risk. The report section described in-vehicle fatigue counter-measures. The distinction between fatigue monitors and alerting devices was made and it was recommended that eye closure and head nodding monitors and an alerting device be tested in the next stage of this project. Key Words: Fatigue (human), accident rate, fatality,
Driving without awareness: Examination of the phenomenon 1st and presenting Author
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