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Related Experiment Video

Updated: Jul 15, 2026

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

Sleepy driver near-misses may predict accident risks.

Nelson B Powell¹, Kenneth B Schechtman, Robert W Riley

¹Department of Otolaryngology Head and Neck Surgery and Department of Psychiatry and Behavioral Science, Stanford University School of Medicine, Stanford, CA, USA. npowell@ix.netcom.com

|April 12, 2007

Summary

Self-reported sleepy driving near-misses significantly increase the risk of actual accidents. More near-misses mean a higher likelihood of experiencing a real crash, highlighting their danger.

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Driving Under the Influence: How Music Listening Affects Driving Behaviors

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Driving Under the Influence: How Music Listening Affects Driving Behaviors

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Published on: March 27, 2019

Area of Science:

Traffic Safety Research
Sleep Medicine
Accident Prevention

Background:

Drowsy driving is a significant public health concern contributing to numerous traffic accidents.
Understanding the relationship between near-miss incidents and actual accidents is crucial for developing effective prevention strategies.

Purpose of the Study:

To determine the prevalence of self-reported near-miss sleepy driving accidents.
To investigate the association between near-miss sleepy driving accidents and actual driving accidents.

Main Methods:

A prospective, cross-sectional internet-based survey was conducted.
Data were collected from 35,217 participants via the Dateline NBC News website.

Main Results:

A dose-response relationship was observed: the risk of accidents increased with the number of near-misses.
Individuals reporting at least one near-miss sleepy accident were 1.13 times more likely to report an actual accident.
Higher Epworth Sleepiness Scale scores were independently associated with an increased risk of accidents.

Conclusions:

Self-reported sleepy near-misses are significant predictors of actual driving accidents.
These findings underscore the importance of addressing driver sleepiness to prevent accidents.