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Traffic Injury Prevention Volume 18, 2017 - Issue sup1: Peer-Reviewed Journal for the 25th International Technical Conference on the Enhanced Safety of Vehicles (ESV)
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Original Articles

Evaluating driver drowsiness countermeasures

John G. GasparNational Advanced Driving Simulator, University of Iowa, Iowa City, IowaCorrespondence[email protected]
,
Timothy L. BrownNational Advanced Driving Simulator, University of Iowa, Iowa City, Iowa
,
Chris W. SchwarzNational Advanced Driving Simulator, University of Iowa, Iowa City, Iowa
,
John D. LeeUniversity of Wisconsin–Madison, Madison, Wisconsin
,
Julie KangNational Highway Traffic Safety Administration, Washington, D.C.
&
James S. HigginsNational Highway Traffic Safety Administration, Washington, D.C.
Pages S58-S63 | Received 20 Dec 2016, Accepted 28 Feb 2017, Published online: 21 Apr 2017

Citations (23)

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Read on this site (4)

Chris Schwarz, John Gaspar & Reza Yousefian. (2023) Multi-sensor driver monitoring for drowsiness prediction. Traffic Injury Prevention 24:sup1, pages S100-S104.
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Valeriia Demareva, Valeriia Viakhireva, Irina Zayceva, Inna Isakova, Yana Okhrimchuk, Karina Zueva, Andrey Demarev, Nikolay Nazarov & Julia Edeleva. (2023) Temporal dynamics of subjective sleepiness: A convergence analysis of two scales. Biological Rhythm Research 54:4, pages 369-384.
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H. E. C. van der Wall, R. J. Doll, G. J. P. van Westen, I. Koopmans, R. G. Zuiker, J. Burggraaf & A. F. Cohen. (2021) Using machine learning techniques to characterize sleep-deprived driving behavior. Traffic Injury Prevention 22:5, pages 366-371.
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Sónia Soares, Sara Ferreira & António Couto. (2020) Driving simulator experiments to study drowsiness: A systematic review. Traffic Injury Prevention 21:1, pages 29-37.
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Articles from other publishers (19)

Suzan Ayas, Birsen Donmez & Xing Tang. (2023) Drowsiness Mitigation Through Driver State Monitoring Systems: A Scoping Review. Human Factors: The Journal of the Human Factors and Ergonomics Society.
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Toni Marie Rudisill, Karen (Kim) Innes, Sijin Wen, Treah Haggerty & Gordon S. Smith. (2023) The effects of cannabidiol on subjective states, cognition, and psychomotor function in healthy adults: A randomized clinical trial. Fundamental & Clinical Pharmacology 37:3, pages 663-672.
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Toni Marie Rudisill, Karen (Kim) Innes, Sijin Wen, Treah Haggerty & Gordon S. Smith. (2023) The Effects of Cannabidiol on the Driving Performance of Healthy Adults: A Pilot RCT. AJPM Focus 2:1, pages 100053.
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Kirill Uvarov & Andrew Ponomarev. (2022) Maintaining Vehicle Driver’s State Using Personalized Interventions. Maintaining Vehicle Driver’s State Using Personalized Interventions.
Steven D. Chong & Carryl L. Baldwin. (2021) The Origins of Passive, Active, and Sleep-Related Fatigue. Frontiers in Neuroergonomics 2.
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Shubhi Shaily, Srikaran Krishnan, Saisriram Natarajan & Sasikumar Periyasamy. (2021) Smart driver monitoring system. Multimedia Tools and Applications 80:17, pages 25633-25648.
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Kirti Mahajan & Nagendra R. Velaga. (2021) Sleep-deprived car-following: Indicators of rear-end crash potential. Accident Analysis & Prevention 156, pages 106123.
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Lisa Schneider, Katrin Frings, Siegfried Rothe, Michael Schrauf & Thomas Jaitner. (2021) Effects of a seat-integrated mobilization system during passive driver fatigue. Accident Analysis & Prevention 150, pages 105883.
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Alec Smith, Anthony D. McDonald & Farzan Sasangohar. (2020) Night-shift nurses and drowsy driving: A qualitative study. International Journal of Nursing Studies 112, pages 103600.
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Frédéric Dehais, Alex Lafont, Raphaëlle Roy & Stephen Fairclough. (2020) A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance. Frontiers in Neuroscience 14.
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Alec Smith, Anthony McDonald & Farzan Sasangohar. (2019) Investigating nurses’ preference for drowsy driving mitigation technologies. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63:1, pages 723-724.
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Ricardo C. Camara de M. Santos, Mateus Coelho Silva & Ricardo Augusto Rabelo Oliveira. (2019) Evaluating the Effect of Audio Feedback on the Behavior of Automotive Fatigue and Distraction Detection System Users. Evaluating the Effect of Audio Feedback on the Behavior of Automotive Fatigue and Distraction Detection System Users.
Ali Shahidi Zandi, Azhar Quddus, Laura Prest & Felix J. E. Comeau. (2019) Non-Intrusive Detection of Drowsy Driving Based on Eye Tracking Data. Transportation Research Record: Journal of the Transportation Research Board 2673:6, pages 247-257.
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Yan Wang, Rui Huang & Lei Guo. (2019) Eye gaze pattern analysis for fatigue detection based on GP-BCNN with ESM. Pattern Recognition Letters 123, pages 61-74.
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Suganiya Murugan, Jerritta Selvaraj & Arun Sahayadhas. (2019) Analysis of Different Measures to Detect Driver States: A Review. Analysis of Different Measures to Detect Driver States: A Review.
Jessica B. Cicchino. (2018) Effects of lane departure warning on police-reported crash rates. Journal of Safety Research 66, pages 61-70.
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Aung Aung Phyo Wai, He Dajiang & Ng Soon Huat. (2018) IoT-enabled multimodal sensing headwear system. IoT-enabled multimodal sensing headwear system.
Rodney Petrus Balandong, Rana Fayyaz Ahmad, Mohamad Naufal Mohamad Saad & Aamir Saeed Malik. (2018) A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver. IEEE Access 6, pages 22908-22919.
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karahan kara & Emre İpekçi. (2022) Sleepy Driving Behavior in Truck Drivers: Empirical Analysis in Turkey. SSRN Electronic Journal.
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