316
Views
5
CrossRef citations to date
0
Altmetric
Articles

A method for predicting the risk of virtual crashes in a simulated driving task using behavioural and subjective drowsiness measures

, &
Pages 714-730 | Received 06 Jul 2015, Accepted 08 Aug 2016, Published online: 29 Aug 2016

References

  • Åkerstedt, T., and M. Gillberg. 1990. “Subjective and Objective Sleepiness in the Active Individual.” International Journal of Neuroscience 52: 29–37.10.3109/00207459008994241
  • Baulk, S. D., S. N. Biggs, K. J. Reid, C. J. Van Den Heuvel, and D. Dawson. 2008. “Chasing the Silver Bullet: Measuring Driver Fatigue Using Simple and Complex Tasks.” Accident Analysis Review 40: 396–402.10.1016/j.aap.2007.07.008
  • Brown, D. S., W. A. Schaudt, and R. J. Hanowski. 2012. “Advances in Drowsy Driver Assistance Systems through Data Fusion.” Handbook of Intelligent Vehicles, edited by A. Eskandarian, Vol. 2, 895–909. London: Springer.
  • Brookhuis, K. A., and D. Waard. 1993. “The Use of Psychophysiology to Assess Driver Status.” Ergonomics 36 (9): 1099–1110.10.1080/00140139308967981
  • Chen, Q., and Q. Jin. 2012. “Drowsy Driver Posture, Facial, and Eye Monitoring Methods.” Handbook of Intelligent Vehicles, edited by A. Eskandarian, Vol. 2, 915–934. London: Springer.
  • Dinges, D. F., M. M. Mallis, G. Maislin, and J. W. Powell IV. 1998. “Final Report: Evaluation of Techniques for Ocular Measurement as an Index of Fatigue and as the Basis for Alertness Management.” National Highway Traffic Safety Administration. Washington, DC: National Highway Traffic Safety Administration.
  • Eskandarian, A., A. Mortazavi, and R. K. Sayed. 2012. “Drowsy and Fatigue Driving Problem Significance and Detection Based on Driver Control Functions.” Handbook of Intelligent Vehicles, edited by A. Eskandarian, Vol. 2, 941–974. London: Springer.10.1007/978-0-85729-085-4
  • Galley, N. 1993. “The evaluation of the electrooculogram as a psychophysiological measuring instrument in the driver study of driver behavior.” Ergonomics 36 (9): 1063–1070.10.1080/00140139308967978
  • Hanowski, R.J., D. Bowman, A. Alden, W. W. Wierwille, and R. Carroll IV. 2008. “PERCLOS+: Moving beyond Single-metric Drowsiness Monitors.” SAE Technical Paper 2008-01-2692.
  • Hoddes, E., V. Zarcone, H. Smythe, R. Phillips, and W. C. Dement. 1973. “Quantification of Sleepiness: A New Approach.” Psychophysiology 10: 431–436.10.1111/psyp.1973.10.issue-4
  • Ji, Q., Z. Zhu, and P. Lan. 2004. “Real-time Nonintrusive Monitoring and Prediction of Driver Fatigue.” IEEE Transactions on Vehicular Technology 53 (4): 1052–1068.10.1109/TVT.2004.830974
  • Ji, Q., P. Lan, and C. Looney. 2006. “A Probabilistic Framework for Modeling and Real-time Monitoring Human Fatigue.” IEEE Transactions on System, Man, and Cybernetics, Part A: Systems and Humans 36 (5): 862–875.
  • Kecklund, G., and T. Akersted. 1993. “Sleepiness in Long Distance Truck Driving: An Ambulatory EEG Study of Night Driving.” Ergonomics 36 (9): 1007–1017.10.1080/00140139308967973
  • Kurian, N. K., and D. Rishikesh. 2013. “Real Time Based Driver’s Safeguard System by Analyzing Human Physiological Signals.” International Journal of Engineering Trends and Technology 4 (1): 41–45.
  • Kusuma, K. B. M., and K. M. Sunitha. 2014. “Non Intrusive Drowsy Driver Detection.” International Journal of Advanced Trends in Computer Science and Engineering 3 (2): 32–35.
  • McDonald, A. D., C. Schwarz, J. D. Lee, and T. L. Brown. 2012. “Real-time Detection of Drowsiness Related Lane Departures Using Steering Wheel Angle.” In: Proceedings of the Human Factors and Ergonomic Society 56th Annual Meeting 2201–2205. Boston, MA: The Westin Boston Waterfront Hotel.
  • McDonald, A. D., J. D. Lee, C. Schwarz, and T. L. Brown. 2014. “Steering in a Random Forest: Ensemble Learning for Detecting Drowsiness-related Lane Departures.” Human Factors 56 (5): 986–998.10.1177/0018720813515272
  • Mehler, B., B. Reimer, and J. F. Coughlin. 2012. “Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand from a Working Memory Task: An on-road Study across Three Age Groups.” Human Factors 54 (3): 396–412.10.1177/0018720812442086
  • Murata, A. 1997. “Assessment of Fatigue by Pupillary Response.” IEICE Transactions on Fundamentals E80-A (7): 1318–1323.
  • Murata, A. and Y. Hiramatsu. 2008. “Evaluation of Drowsiness by HRV Measures -Basic Study for Drowsy Driver Detection-.” In: Proceedings of IWCIA (International Workshop on Computer Intelligence & Applications) 2008. 99–102. Higashi-hiroshima: Hiroshima University.
  • Murata, A., and K. Nishijima. 2008, “Evaluation of Drowsiness by EEG Analysis -Basic Study on ITS Development for the Prevention of Drowsy Driving-.” In: Proceedings of IWCIA (International Workshop on Computer Intelligence & Applications) 2008, 95–98. Higashi-hiroshima: Hiroshima University.
  • Murata, A., Y. Matsuda, and M. Moriwaka. 2011. “An Attempt to Predict Drowsiness by Bayesian Estimation.” In: Proceedings of SICE (Society of Instrument and Control Engineers) 2011, 58–63. Tokyo: Waseda University.
  • Murata, A., Y. Ohkubo, and M. Moriwaka. 2011. “Prediction of Drowsiness Using Multivariate Analysis of Biological Information and Driving Performance”. In: Proceedings of SICE (Society of Instrument and Control Engineers) Annual Conference 2011, 52–57. Tokyo: Waseda University.
  • Murata, A., and T. Koriyama. 2012. “Basic Study on the Prevention of Drowsy Driving Using the Change of Neck Bending Angle and the Sitting Pressure Distribution”. In: Proceedings of SICE (Society of Instrument and Control Engineers) Annual Conference 2012, 274–279. Akita: Akita University.
  • Murata, A., T. Koriyama, Y. Ohkubo, and M. Moriwaka. 2013. “Verification of Physiological or Behavioral Evaluation Measures Suitable for Predicting Drivers’ Drowsiness”. In: Proc. of SICE(Society of Instrument and Control Engineers) Annual Conference 2013, 1766–1771. Nagoya: Nagoya University.
  • Murata, A., A. Nakatsuka, and M. Moriwaka. 2013. “Effectiveness of Back and Foot Pressures for Assessing Drowsiness of Drivers”. In: Proceedings of SICE (Society of Instrument and Control Engineers) Annual Conference 2013, 1754–1759. Nagoya: Nagoya University.
  • Murata, A., Y. Urakami, T. Koriyama, and M. Ikeda. 2013. “Evaluation of Drowsiness of Driver Based on Change of Sitting Pressure Center.” In: Proceedings of SICE (Society of Instrument and Control Engineers) Annual Conference 2013, 1760–1765. Nagoya: Nagoya University.
  • Murata, A., K. Fukuda, and T. Koriyama. 2014. “An Attempt to Predict Point in Time with High Risk of Accident by Trend Analysis: Method for Detecting Significant Trend of Change of Behavioral Measures.” In: Proceedings of AHFE (Applied Human Factors and Ergonomics)2014, 7367–7378. Krakow: Jagiellonian University.
  • Murata, A., K. Naitoh, T. Koriyama, and M. Moriwaka. 2014. “Exploration of Possibility of Driver’s Drowsiness Prediction with High Accuracy Using Both Physiological and Behavioral Measures.” In: Proceedings of AHFE (Applied Human Factors and Ergonomics)2014, 7355–7366. Krakow: Jagiellonian University.
  • Murata, A., and K. Naitoh. 2015. “An Attempt to Predict Point in Time with High Risk of Crash Using Psychological Rating on Drowsiness and X-bar Chart of Behavioral Measures.” In Engineering Psychology and Cognitive Ergonomics, Series Lecture Notes in Computer Science. 9174, edited by D. Harris, 265–274. New York: Springer.
  • Murata, A., and K. Fukuda. 2016. “Development of a Method to Predict Crash Risk Using Trend Analysis of Driver Behavior Changes over Time.” Traffic Injury Prevention 17 (2): 114–121.10.1080/15389588.2015.1050720
  • Putilov, A. A., and O. G. Donskaya. 2013. “Construction and Validation of the EEG Analogues of the Karolinska Sleepiness Scale Based on the Karolinska Drowsiness Test.” Clinical Neurophysiology 124: 1346–1352.10.1016/j.clinph.2013.01.018
  • Reimer, B., and B. Mehler. 2011. “The Impact of Cognitive Workload on Physiological Arousal in Young Adult Drivers: A Field Study and Simulation Validation.” Ergonomics 54 (10): 932–942.10.1080/00140139.2011.604431
  • Reimer, B., B. Mehler, Y. Wang, and J. F. Coughlin. 2012. “A Field Study on the Impact of Variations in Short-term Memory Demands on Driver’s Visual Attention and Driving Performance across Three Age Groups.” Human Factors 54 (3): 454–468.10.1177/0018720812437274
  • Samiee, S., S. Azadi, R. Kazemi, A. Nahvi, and A. Eichberger. 2014. “Data Fusion to Develop a Driver Drowsiness Detection System with Robustness to Signal Loss.” Sensors 14: 17832–17847.10.3390/s140917832
  • Sayed, R., and A. Eskandarian. 2001. “Unobtrusive Drowsiness Detection by Neural Network Learning of Driver Steering.” Proceedings of the Institution of Mechanical Engineers Part D: Journal of Automobile Engineering 215 (D9): 969–975.
  • Sayed, R. A., A. Eskandarian, and A. Mortazavi. 2012. “Drowsy and Fatigued Driver Warning, Counter Measures, and Assistance.” Handbook of Intelligent Vehicles, edited by A. Eskandarian, Vol. 2, 977–990. London: Springer.
  • Schwartz, B. 2005. The Paradox of Choice: Why More is Less. New York: Harper Perennial.
  • Singh, I., and V. K. Banga. 2013. “Development of a Drowsiness Warning System Using Neural Network.” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 2 (8): 3614–3623.
  • Skipper, J. H., and W. Wierwillie. 1986. “Drowsy Driver Detection Using Discrimination Analysis.” Human Factors 28 (5): 527–540.
  • Wright, N., and A. McGown. 2001. “Vigilance on the Civil Flight Deck: Incidence of Sleepiness and Sleep during Long-haul Flights and Associated Changes in Physiological Parameters.” Ergonomics 44 (1): 82–106.10.1080/00140130150203893

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.