United States Department of Transportation
i
Evaluation of an Updated Version of the Risk Awareness and Perception Training Program for Young Drivers
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2017-03-01
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[PDF-1.62 MB]
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Edition:Final report
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Abstract:Previous research suggests newly licensed teen drivers often fail to anticipate where unexpected hazards might materialize. One training program designed to address these apparent deficiencies in knowledge and skills that has shown promise in previous tests is the Risk Awareness and Perception Training (RAPT) program. This project updated RAPT using high definition video and computer simulations to create a more interactive and realistic program. Researchers evaluated the modified program’s impact on the behaviors of novice and experienced drivers through the use of a computer-based test and during on-road drives in live traffic on a pre-defined route. Both the novice and experienced driver RAPT-trained groups showed substantial improvement in performance from pre- to post-test with the RAPT trainees hitting almost all of the targets during the computer post-test. The performance differences extended to the eye-tracker data arising from the on-road drives. The RAPT-trained groups hit significantly higher numbers of total primary targets and percentages of targets compared to the control groups. The study also employed a “Think Aloud,” or commentary driving, data collection effort. This data collection approach did not reveal any performance differences among the training groups. This study also included a persistence measure using the computer assessment one month after training. Results showed the RAPT-trained groups’ target hit rates decreased from the initial post-test to the persistence measure but remained above their baseline hit rates and above the control groups’ persistence measure hit rates. Taken together, the results suggest the RAPT revision represented a significant improvement over the previous versions in terms of realism with a similar impact on driver behaviors as measured by a computer assessment and through the use of eye-tracking in a live traffic environment.
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