According to Study Driver Fatigue Causes 20 Percent of Motor Vehicle Crashes

A 100-car “naturalistic” driving study conducted by the Virginia Tech Transportation Institute found that fatigue is a cause of 20 percent of motor vehicle crashes, rather than the two or three percent previously estimated based on surveys, simulator studies and test tracks.  Also, the study found that 18-20-year-olds account for significantly more fatigued-related crashes than any other age group.  While adolescents’ sleep patterns shift to later hours, school for students still tends to start early, resulting in daytime sleepiness.  Older drivers can face similar issues with late nights and early work times, but have more experience coping with moderate fatigue in most cases, the researchers say.  Charlie Klauer, group leader for teen risk and injury prevention at the transportation institute’s Center for Vulnerable Road User Safety, had this to say:

A finding that surprised people is the prevalence of fatigue during the day.  We found significantly more crashes/near crashes due to fatigue during the day than at night.  The study allowed us, for the first time, to observe driver behavior just prior to a crash.  In 20 percent of all crashes and 16 percent of all near crashes, the driver was showing fatigue.  We saw eye-lid closure, head bobbing, severe loss of facial musculature, micro-sleep−which is when your eyes drift shut and then pop up.  This was not just yawning.  The drivers were asleep.

Naturalist research involves observing behavior as it takes place in its natural setting with very limited or no interference with the subjects.  One hundred drivers who commute into or out of the Northern Virginia/Washington D.C., metropolitan area were initially recruited as primary drivers to have their vehicles instrumented or receive a leased vehicle instrumented for the study.  Since other family members and friends would occasionally drive the instrumented vehicles, data were collected on 132 additional drivers.  Researchers selected a larger sample of drivers younger than 25, compared with total population of drivers, and a sample that drove more than the average number of miles.

The data acquisition system used for the 100-car study was developed by engineers at the Virginia Tech Transportation Institute.  Sensors included five video channels, forward and rearward Vorad radar units, accelerometers, lane-tracking software and an in-vehicle network sensor.  The cameras were mounted unobtrusively in order to facilitate naturalistic driving behavior.

Researchers viewed more than 110,000 events in order to validate 10,548 events−specifically, 82 crashes, including 13 where the data was incomplete; 761 near crashes; 8,295 incidents, such as braking hard for slowing or stopped traffic; and 1,423 non-conflict events, such as running a stop light with no traffic present.  In addition, 20,000, randomly selected 6-second segments of video where viewed.  Incidents of moderate to severe driving fatigue were noted, providing an estimate of the amount of time drivers were fatigued but were not involved in a crash or near-crash.  The total number of subjects who were involved in fatigue-related crashes and near-crashes was 38, with 11 drivers accounting for 58 percent of all the fatigue-related crashes and near-crashes.  Tom Dingus, director of the Virginia Tech Transportation Institute, stated:

Applying the findings to the population at-large, these results suggest that drivers are at four times greater risk of a crash or near-crash if they choose to drive while fatigued.  That suggests that about 12 percent of all crashes and near-crashes in the population are attributable to fatigue.

Analyses with the 100-car study database will continue, plus data from a new U.S. study, the Strategic Highway Research Program, with 2,000 cars, will provide greater statistical power.  In addition, new naturalistic driving studies focused on 16-to 18-year old drivers are now under way. A Naturalistic Teenage Driving Study, sponsored by the National Institute of Child Health and Human Development, seeks to determine the effects of experience on driving performance, and the extent of variability in driving performance under specific driving conditions, such as at night.  The National Highway Traffic Safety Administration provided additional funds to analyze the data from the teen driving study to help determine which driving performance parameters and situations should be used to provide feedback about unsafe driving performance to newly licensed teens.

The 100-Car Naturalistic Driving data set was collected in 2003 and 2004 and has been mined numerous times since.  Databases from the 100-car study are available for public use on the Virginia Tech Transportation Institute website.  Several publications resulting from analysis of the data are reported by the National Highway Traffic Safety Administration.


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Source: The Insurance Journal