Evaluating driver drowsiness countermeasures

References

• Aidman E, Chadunow C, Johnson K, Reece J. Real-time driver drowsiness feedback improves driver alertness and self-reported driving performance. Accid Anal Prev. 2015;81:8–13.
   PubMed Web of Science ®Google Scholar
• Arimitsu S, Sasaki K, Hosaka H, Itoh M, Ishida K, Ito A. Seat belt vibration as a stimulating device for awakening drivers. IEEE/ASME Trans Mechatron. 2007;12:511–518.
   Web of Science ®Google Scholar
• Berka C, Lewindowski D. Implementation of a closed-loop real-time EEG-based drowsiness detection system: effects of feedback alarms on performance in a driving simulator. Paper presented at: International Conference on Augmented Cognition; 2005.
   Google Scholar
• Brown T, Lee J, Schwarz C, Fiorentino D, McDonald A. Assessing the Feasibility of Vehicle-Based Sensors to Detect Drowsy Driving. Washington, DC: NHTSA, US Department of Transportation; 2014. DOT HS 811 886.
   Google Scholar
• Dinges DF, Grace R. PERCLOS: A Valid Psychophysiological Measure of Alertness as Assessed by Psychomotor Vigilance. Washington, DC: NHTSA, US Department of Transportation; 1998. FHWA-MCRT-98-006.
   Google Scholar
• Fairclough SH, van Winsum W. The influence of impairment feedback on driver behavior: a simulator study. Transportation Human Factors. 2000;2:229–246.
   Google Scholar
• Grace R, Steward S. Drowsy driver monitor and warning system. Paper presented at: International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design; 2001.
   Google Scholar
• Heitmann A, Guttkuhn R, Aguirre A, Trutschel U, Moore-Ede M. Technologies for the monitoring and prevention of driver fatigue. Paper presented at: International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design; 2001.
   Google Scholar
• Hoddes E, Zarcone V, Dement W. Development and use of Stanford Sleepiness Scale (SSS). Psychophysiology. 1972;9:150.
   Web of Science ®Google Scholar
• Klauer SG, Dingus TA, Neale VL, et al. The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data. Washington, DC: NHTSA, US Department of Transportation; 2006. DOT HS 810 594.
   Google Scholar
• Knipling RR, Wang J-S. Crashes and Fatalities Related to Driver Drowsiness/Fatigue. Washington, DC: NHTSA, US Department of Transportation; 1994.
   Google Scholar
• Krajewski J, Sommer D, Trutschel U, Edwards D, Golz M. Steering wheel behavior based estimation of fatigue. Paper presented at: International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design; 2009.
   Google Scholar
• Lin CT, Wu RC, Liang SF, Chao WH, Chen YJ, Jung TP. EEG-based drowsiness estimation for safety driving using independent component analysis. IEEE Trans Circuits Syst. 2005;52:2726–2738.
   Google Scholar
• May JF, Baldwin CL. Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies. Transp Res Part F Traffic Psychol Behav. 2009;12:218–224.
   Web of Science ®Google Scholar
• McDonald AD, Lee JD, Schwarz C, Brown TL. Steering in a random forest ensemble learning for detecting drowsiness-related lane departures. Hum Factors. 2014;56:986–998.
   PubMed Web of Science ®Google Scholar
• National Sleep Foundation. 2009 Sleep in America Poll: Summary of Findings. Washington, DC: Author; 2009.
   Google Scholar
• Navarro J, Yousfi E, Deniel J, Jallais C, Bueno M, Fort A. The impact of false warnings on partial and full lane departure warnings effectiveness and acceptance in car driving. Ergonomics. 2016;59:1553–1564.
   PubMed Web of Science ®Google Scholar
• NHTSA. Traffic Safety Facts 2015. Washington, DC: Author; 2014. DOT HS 812 261.
   Google Scholar
• Parasuraman R, Miller CA. Trust and etiquette in high-criticality automated systems. Commun ACM. 2004;47(4):51–55.
   Web of Science ®Google Scholar
• Roberts SC, Horrey WJ, Liang Y. Measurement of driver calibration and the impact of feedback on drivers' estimates of performance. Accid Anal Prev. 2016;88:150–158.
   PubMed Web of Science ®Google Scholar
• Schwarz C, Brown TL, Gaspa JG, et al. Mitigating drowsiness: linking detection to mitigation. Paper presented at: Enhanced Safety of Vehicles Conference; 2015.
   Google Scholar
• Takahashi I, Yokoyama K. Preventing drowsiness by heartbeat-synchronized vibration. Paper presented at: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 2012.
   Google Scholar
• Tefft BC. Prevalence of Motor Vehicle Crashes Involving Drowsy Drivers, United States, 2009–2013. Washington, DC; American Automobile Association (AAA) Foundation for Traffic Safety; 2014.
   Google Scholar
• Wierwille WW, Ellsworth LA. Evaluation of driver drowsiness by trained raters. Accid Anal Prev. 1994;26(5):571–581.
   Google Scholar