National Academies Press: OpenBook
« Previous: Glossary
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

References

Abe, T., Nonomura, T., Komada, Y., Asaoka, S., Sasai, T., Ueno, A., and Inoue, Y. (2011). Detecting deteriorated vigilance using percentage of eyelid closure time during behavioral maintenance of wakefulness tests. International Journal of Psychophysiology, 82(3), 269-274.

Abe, T., Komada, Y., and Inoue, Y. (2012). Short sleep duration, snoring and subjective sleep insufficiency are independent factors associated with both falling asleep and feeling sleepiness while driving. Internal Medicine, 51(23), 3253-3260.

Abe, T., Goel, N., Basner, M., Mollicone, D., Rao, H., and Dinges, D.F. (2015). Integration of sleep need and fatigue mitigation into human system operation. In F. Durso and D. Boehm-Davis (Eds.), Handbook of Human Systems Integration (pp. 177-191). Washington, DC: American Psychological Association.

Akerstedt, T., Connor, J., Gray, A., and Kecklund, G. (2008). Predicting road crashes from a mathematical model of alertness regulation—The Sleep/Wake Predictor. Accident Analysis & Prevention, 40(4), 1480-1485.

Aldrich, M.S. (1989). Automobile accidents in patients with sleep disorders. Sleep, 12(6), 487-494.

Almirall, D., Griffin, B.A., McCaffrey, D.F., Ramchand, R., Yuen, R.A., and Murphy, S. (2014). Time-varying effect moderation using the structural nested mean model: Estimation using inverse-weighted regression with residuals. Statistics in Medicine, 33(20), 3466-3487.

American Transportation Research Institute. (2010). Hours-of-Service Rules Safety Impacts, 2010 Analysis. Arlington, VA: American Transportation Research Institute. Available: http://www.atri-online.org/ATRI_HOS_Analysis_2010.pdf [March 2016].

Ancoli-Israel, S., Czeisler, C.A., George, C.F.P., Guilleminault, C., and Pack, A.I. (2008). Expert Panel Recommendations: Obstructive Sleep Apnea and Commercial Motor Vehicle Driver Safety. Available: https://www.fmcsa.dot.gov/sites/fmcsa.dot.gov/files/docs/SleepMEP-Panel-Recommendations-508.pdf [March 2016].

Angrist, J.D., Imbens, G.W., and Rubin, D.B. (1996). Identification of causal effects using instrumental variables. Journal of the American Statistical Association, 91(434), 444-455.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Antin, J., Stulce, K., Eichelberger, L., and Hankey, J. (2015). Naturalistic Driving Study: Descriptive Comparison of the Study Sample with National Data (SHRP2 Report S2-S31RW-1). Available: http://onlinepubs.trb.org/onlinepubs/shrp2/SHRP2_S2-S31-RW-1.pdf [March 2016].

Anund, A., Kecklund, G., Peters, B., Forsman, Å., Lowden, A., and Åkerstedt, T. (2008). Driver impairment at night and its relation to physiological sleepiness. Scandinavian Journal of Work, Environment and Health, 34(2), 142-150.

Apostolopoulos, Y., Sonmez, S., Shattell, M.M., and Belzer, M. (2010). Worksite-induced morbidities among truck drivers in the United States. AAOHN Journal: Official Journal of the American Association of Occupational Health Nurses, 58(7), 285-296.

Baiocchi, M., Small, D., Lorch, S., and Rosenbaum, P. (2010). Building a stronger instrument in an observational study of perinatal care for premature infants. Journal of the American Statistical Association, 105(492), 1285-1296.

Balkin, T., Thorne, D., Sing, H., Thomas, M., Redmond, D., Wesensten, N., Williams, J., Hall, S., and Belenky, G. (2000). Effects of Sleep Schedules on Commercial Motor Vehicle Driver Performance (DOT-MC-00-133). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Banerjee, I., Lee, J., Jang, K., Pande, S., and Ragland, D. (2009). Rest Areas: Reducing Accidents Involving Driver Fatigue. Berkeley: University of California Traffic Safety Center, California Department of Transportation.

Banks, S., and Dinges, D.F. (2007). Behavioral and physiological consequences of sleep restriction. Journal of Clinical Sleep Medicine, 3(5), 519-528.

Banks, S., Van Dongen, H.P.A., Maislin, G., and Dinges, D.F. (2010). Neurobehavioral dynamics following chronic sleep restriction: Dose-response effects of one night for recovery. Sleep, 33(8), 1013-1026.

Barbe, F., Pericas J., Munoz, A., Findley, L., Anto, J.M., and Agusti, A.G. (1998). Automobile accidents in patients with sleep apnea syndrome. An epidemiological and mechanistic study. American Journal of Respiratory and Critical Care Medicine, 158(1), 18-22.

Barr, L.C., Yang, C.Y.D., Hanowski, R.J., and Olson, R. (2011). An Assessment of Driver Drowsiness, Distraction, and Performance in a Naturalistic Setting (FMCSA-RRR-11-010). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Basner, M., and Dinges, D.F. (2009). Dubious bargain: Trading sleep for Leno and Letterman. Sleep, 32(6), 747-752.

Basner, M., and Dinges, D.F. (2011). Maximizing sensitivity of the Psychomotor Vigilance Test (PVT) to sleep loss. Sleep, 34(5), 581-591.

Basner, M., and Dinges, D.F. (2012). An adaptive-duration version of the PVT accurately tracks changes in psychomotor vigilance induced by sleep restriction. Sleep, 35(2), 193-202.

Basner, M., Fomberstein, K., Razavi, F.M., Banks, S., William, J., Rosa, R., and Dinges, D.F. (2007). American Time Use Survey: Sleep time and its relationship to waking activities. Sleep, 30(9), 1085-1095.

Basner, M., Mollicone, D., and Dinges, D.F. (2011). Validity and sensitivity of a brief Psychomotor Vigilance Test (PVT-B) to total and partial sleep deprivation. Acta Astronautica, 69(11-12), 949-959.

Basner, M., Spaeth, A.M., and Dinges, D.F. (2014). Sociodemographic characteristics and waking activities and their role in the timing and duration of sleep. Sleep, 37(12), 1889-1906.

Battelle-Seattle Research Center. (2000). Stress and Fatigue Effects of Driving Longer Combination Vehicles. Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Bedard, M.A., Montplaisir, J., Malo, J., Richer, F., and Roulean, I. (1993). Persistent neuropsychological deficits and vigilance impairment in sleep apnea syndrome after treatment with continuous positive airways pressure (CPAP). Journal of Clinical Experimental Neuropsychology, 15(2), 330-341.

Beilock, R. (1995). Schedule-induced hours-of-service and speed limit violations among tractor-trailer drivers. Accident Analysis and Prevention, 27(1), 33-42.

Belenky, G., Wesensten, N.J., Thorne, D.R., Thomas, M.L., Sing, H.C., Redmond, D.P., Russo, M.B., and Balkin, T.J. (2003). Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: a sleep dose-response study. Journal of Sleep Research, 12, 1-12.

Belenky, G., Wu, L.J., Zaslona, J.L., and Hodges, J. (2012). Motorcoach Driver Fatigue Study, 2011 (FMCSA-RRR-12-042). Washington DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Belenky, G., Hanowski, R., and Jovanis, P. (2013). Expert Panel Report: Fatigue and Commercial Motorcoach/Bus Driver Safety. Presented to the Federal Motor Carrier Safety Administration. Available: https://www.fmcsa.dot.gov/sites/fmcsa.dot.gov/files/docs/Expert%20Panel%20Recommendations%20-%2012-20-2012%20EP%20Report%20-%20version%206_mt%20revisions-2-5-13.pdf [March 2016].

Belzer, M.H. (2000). Sweatshops on Wheels: Winners and Losers in Trucking Deregulation. New York: Oxford University Press.

Belzer, M.H., Rodriguez, D.A., and Targa, F. (2006). Pay incentives and truck driver safety: A case study. Industrial and Labor Relations Review, 59(2), 205-225.

Belzowski, B.M., Blower, D., Woodrooffe, J., and Green, P.E. (2007). Tracking the Use of On-board Safety Technologies across the Truck Fleet (UMTRI 2009-22). Ann Arbor: University of Michigan Transportation Research Institute.

Berger, M., Varvarigou, Reilly, A., Czeisler, C.A., Maholtra, A., and Kales, S.N. (2012). Employer-mandated sleep apnea screening and diagnosis in commercial drivers. Journal of Occupational and Environmental Medicine, 54(8), 1017-1025.

Biglan, A., Ary, D., and Wagenaar, A.C. (2000). The value of interrupted time-series experiments for community intervention research. Prevention Science, 1(1), 31-49.

Blanco, M., Hanowski, R.J., Olson, R.L., Morgan, J.F., Soccolich, S.A., Wu, S.-C., and Guo, F. (2011). The Impact of Driving, Non-Driving Work, and Rest Breaks on Driving Performance in Commercial Motor Vehicle Operations (FMCSA-RRR-11-017). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Blood, R.P., Yost, M.G., Camp, J.E., and Ching, R.P. (2015). Whole-body vibration exposure intervention among professional bus and truck drivers: A laboratory evaluation of seat-suspension designs. Journal of Occupation and Environmental Hygiene, 12(6), 351-362.

Bloom, H. (2012). Modern regression discontinuity analysis. Journal of Research on Educational Effectiveness, 5(1), 43-82.

Blower, D., and Campbell, K.L. (2002). The Large Truck Crash Causation Study (UMTRI 2002-31). Washington, DC: U.S. Department of Transportation, Federal Highway Administration Office of Motor Carriers.

Bonauto, D.K., Lu, D., and Fan, Z.J. (2014). Obesity prevalence by occupation in Washington state, Behavioral Risk Factor Surveillance System. Preventing Chronic Disease, 11, 130219.

Bonnet, M.H. (1991). The effect of varying prophylactic naps on performance, alertness and mood throughout a 52-hour continuous operation. Sleep, 14(4), 307-315.

Bonnet, M.H. (2005). Acute sleep deprivation. In M.A. Kryger, T. Roth, and W.C. Dement (Eds.), Principles and Practice of Sleep Medicine (pp. 51-66). Philadelphia, PA: Elsevier Saunders.

Borbély, A.A. (1982). A two process model of sleep regulation. Human Neurobiology, 1(3), 195-204.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Braver, E.R., Preusser, C.W., Preusser, D.F., Baum, H.M., Beilock, R., and Ulmer, R. (1992). Long hours and fatigue: A survey of tractor-trailer drivers. Journal of Public Health Policy, 13(3), 341-366.

Brooks, A., and Lack, L. (2006). A brief afternoon nap following nocturnal sleep restriction: Which nap duration is most recuperative? Sleep, 29(6), 831-840.

Brown, T., Lee, J., Schwarz, C., Dary Fiorentino, D., and McDonald, A. (2014). Assessing the Feasibility of Vehicle-Based Sensors to Detect Drowsy Driving. Report No. DOT HS 811 886. Washington, DC: National Highway Traffic Safety Administration.

Burke, T.M., Scheer, F., Ronda, J.M., Czeisler, C.A., and Wright, K.P. (2015). Sleep inertia, sleep homeostatic and circadian influences on higher-order cognitive functions. Journal of Sleep Research, 24(4), 364-371.

Burks, S.V., Belzer, M.H., Quon, K., Pratt, S.G., and Shackelford, S. (2010). Trucking 101: An Industry Primer (Transportation Research Circular E-C146). Washington, DC: Transportation Research Board.

Buxton, O.M., Lee, C.W., L’Hermite-Baleriaux, M., Turek. F.W., and Van Cauter, E. (2003). Exercise elicits phase shifts and acute alterations of melatonin that vary with circadian phase. American Journal of Physiology, 284(3), R714-R724.

Buxton, O.M., Pavlova, M., Reid, E.W., Wang, W., Simonson, D.C., and Adler, G.K. (2010). Sleep restriction for 1 week reduces insulin sensitivity in healthy men. Diabetes, 59(9), 2126-2133.

Buysee, D.J., Reynolds, C.F., Monk, T.H., Berman, S.R., and Kupfer, D.J. (1989). The Pittsburgh Sleep Quality Index: A new instrument for psychiatric research and practice. Psychiatry Research, 28(2), 193-213.

Caldwell, J.A., Prazinko, B., and Caldwell, J.L. (2003). Body posture affects electroencephalographic activity and psychomotor vigilance task performance in sleep-deprived subjects. Clinical Neurophysiology, 114(1), 2-31.

Cannon, B.R., and Sudweeks, J. (2011). Geospatial Analysis of High-Crash Intersections and Rural Roads Using Naturalistics Driving Data: Final Report (11-UT-013). Blacksburg, VA: Virginia Tech Transportation Institute, National Surface Transportation Safety Center for Excellence.

Carayon, P. (2006). Human factors of complex sociotechnical systems. Applied Ergonomics, 37(4), 525-535.

Carson, J., Pezoldt, V., Koncz, N., and Obeng-Boampong, K. (2011). Benefits of Public Roadside Safety Rest Areas in Texas: Technical Report. Arlington: Texas Transportation Institute, Texas Department of Transportation.

Cassel, W., Ploch, T., Becker, C., Dugnus, D., Peter, J.H., and von Wichert, P. (1996). Risk of traffic accidents in patients with sleep-disordered breathing: Reduction with nasal CPAP. European Respiratory Journal, 9(12), 2606-2611.

Centers for Disease Control and Prevention. (2015). Insufficient Sleep Is a Public Health Problem. Available: http://www.cdc.gov/features/dssleep [March 2016].

Chakraborty, B., and Murphy, S.A. (2013). Dynamic treatment regimes. Annual Review of Statistics and Its Application, 1, 447-464.

Charlton, S.G., and Ashton, M.E. (1998). Review of Fatigue Management Strategies in the Transport Industry. Wellington, New Zealand: Land Transport Safety Authority.

Chua, E.C., Tan, W.Q., Yeo, S.C., Lau, P., Lee, I., Mien, I.H., Puvanendran, K., and Gooley, J.J. (2012). Heart rate variability can be used to estimate sleepiness-related decrements in psychomotor vigilance during total sleep deprivation. Sleep, 35(3), 325-334.

Cohen, D.A., Wang, W., Wyatt, J.K., Kronauer, R.E., Dijk, D.-J., Czeisler, C.A., and Klerman, E.B. (2010). Uncovering residual effects of chronic sleep loss on human performance. Science Translational Medicine, 2(14), 1-9.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Cole, S.R., and Hernan, M.A. (2008). Constructing inverse probability weights for marginal structural models. American Journal of Epidemiology, 168(6), 656-664.

Connor, J., Norton, R., Ameratunga, S., Robinson, E., Civil, I., Dunn, R., Bailey, J., and Jackson, R. (2002). Driver sleepiness and risk of serious injury to car occupants: Population based case control study. British Medical Journal, 324(7346), 1125.

Cook, T.D. (1991). Clarifying the warrant for generalized causal inferences in quasi-experimentation. In M.W. McLaughlin and D. Phillips (Eds.), Evaluation and Education: At Quarter Century (pp. 115-144). Chicago: National Society for the Study of Education.

Costa, G. (1997). The problem: Shiftwork. Chronobiology International, 14(2), 89-98.

Couper, F.J., Pemberton, M., Jarvis, A., Hughes, M., and Logan, B.K. (2002). Prevalence of drug use in commercial tractor-trailer drivers. Journal of Forensic Sciences, 47(3), 562-567.

Crouch, D.J., Birky, M.M., Gust, S.W., Rollins, D.E., Walsh, J.M., Moulden, J.V., Quinlan, K.E., and Beckel, R.W. (1993). The prevalence of drugs and alcohol in fatally injured truck drivers. Journal of Forensic Sciences, 38(6), 1342-1353.

Crum, M.R., Morrow, P.C., and Daecher, C.W. (2002). Motor Carrier Scheduling Practices and Their Influence on Driver Fatigue (FMCSA-RT-03-005). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Czeisler, C. (2015). Duration, timing and quality of sleep are each vital for health, performance and safety. Sleep Health, 1(1), 5-8.

Darwent, D., Roach, G., and Dawson, D. (2012). How well do truck drivers sleep in cabin sleeper berths?, Applied Ergonomics, 43(2), 442-446.

Datta, T.K., Savolainen, P.T., Gates, T.J., Kay, J.J., Nicita, N.B., Sahadev, P., and Finkelman, J. (2015). Evaluation of Non-Freeway Rumble Strips—Phase II (RC-1627). Detroit, MI: Wayne State University Transportation Research Group.

Dawson, D., Noy I., Harma, M., Akerstedt, T., and Belenky, G. (2011). Modelling fatigue and the use of fatigue models in work settings. Accident Analysis and Prevention, 43(2), 549-564.

Day, R., Gerhardstein, R., Lumley, A., Roth, T., and Rosenthal, L. (1999). The behavioral morbidity of obstructive sleep apnea. Progression of Cardiovascular Disease, 41(5), 341-354.

Deaconson, T.F., O’Hair, D.P., Levy, M.F., Lee, M.B.F., Schueneman, A.L., and Condon, R.E. (1988). Sleep deprivation and resident performance. Journal of the American Medical Association, 260(12), 1721-1727.

Dement, W., Carskadon, M., and Richardson, G. (1978). Excessive daytime sleepiness in the sleep apnea syndrome. In C. Guilleminault and W. Dement (Eds.), The Sleep Apnea Syndromes (pp. 23-46). New York: R. Liss.

Dijkman, M., Sachs, N., Levine, E., Mallis, M., Carlin, M.M., Gillen, K.A., Powell, J.W., Samuel, S., Mullington, J., Rosekind, M.R., and Dinges, D.F. (1997). Effects of reduced stimulation on neurobehavioral alertness depend on circadian phase during human sleep deprivation. Sleep, 26, 265.

Dinges, D.F. (1986). Differential effects of prior wakefulness and circadian phase on nap sleep. Electroencephalography and Clinical Neurophysiology, 64(3), 224-227.

Dinges, D.F. (1990). Are you awake? Cognitive performance and reverie during the hypnopompic state. In R.R. Bootzin, J.F. Kahlstrom, and D.L. Schacter (Eds.), Sleep and Cognition (pp. 139-175). Washington, DC: American Psychology Society.

Dinges, D.F., and Mallis, M.M. (1998). Managing fatigue by drowsiness detection: Can technological promises be realized?. In L. Hartley (Ed.), Managing Fatigue in Transportation (Ch. 11) (pp. 209-229). Oxford, UK: Elsevier Science.

Dinges, D.F., and Powell, J.W. (1985). Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations. Behavior Research Methods, Instruments, & Computers, 17(6), 652-655.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Dinges, D.F., Orne, M.T., Whitehouse, W.G., and Orne, E.C. (1987). Temporal placement of a nap for alertness: Contributions of circadian phase and prior wakefulness. Sleep, 10(4), 313-329.

Dinges, D.F., Pack, F., Williams, K., Gillen, K.A., Powell, J.W., Ott, G.E., Aptowicz, C., and Pack, A.I. (1997). Cumulative sleepiness, mood disturbance, and psychomotor vigilance performance decrements during a week of sleep restricted to 4-5 hours per night. Sleep, 20(4), 267-277.

Dinges, D.F., Mallis, M.M., Maislin, G., and Powell, J.W. (1998). Evaluation of Techniques for Ocular Measurement as an Index of Fatigue and the Basis for Alertness Management (DOT HS 808 762). Available: http://ntl.bts.gov/lib/21000/21900/21955/PB99150237.pdf [March 2016].

Dinges, D.F., Price, N.J., Maislin, G., Powell, J.W., Ecker, A.J., Mallis, M.M., and Szuba, M.P. (2002). Prospective Laboratory Revalidation of Ocular-Based Drowsiness Detection Technologies and Countermeasures (NHTSA Drowsy Driver Detection and Interface Project DTNH-2200-D-07007). Washington, DC: National Highway Traffic Safety Administration.

Dinges, D.F., Rider, R.L., Dorrian, J., McGlinchey, E.L., Rogers, N.L., Cizman, Z., Goldenstein, S.K., Vogler, C., Venkataraman, S., and Metaxas, D.N. (2005a). Optical computer recognition of facial expressions associated with stress induced by performance demands. Aviation, Space, and Environmental Medicine, 76(6), B172-B182.

Dinges, D.F., Maislin, G. Brewster, R.M., Krueger, G.P., and Carroll, R.J. (2005b). Pilot test of fatigue management technologies. Transportation Research Record: Journal of the Transportation Research Board, 1922, 175-182.

Dinges, D.F., Venkataraman, S., McGlinchey, E.L., and Metaxas, D.N. (2007). Monitoring of facial stress during space flight: Optical computer recognition combining discriminative and generative methods. Acta Astronautica, 60(4-7), 341-350.

Dingus, T.A., Klauer, S.G., Neale, V.L., Petersen, A., Lee, S.E., Sudweeks, J., Perez, M.A., Hankey, J., Ramsey, D., Gupta, S., Bucher, C., Doerzaph, Z.R., Jermeland, J., and Knipling, R.R. (2006). The 100-Car Naturalistic Driving Study: Phase II—Results of the 100-Car Field Experiment (DOT HS 810 593). Washington, DC: National Highway Traffic Safety Administration.

Doll, R., and Hill, A.B. (1950). Smoking and carcinoma of the lung: Preliminary report. British Medical Journal, 221, 739-748.

Dozza, M., Werneke, J., and Mackenzie, M. (2013). e-BikeSAFE: A naturalistic cycling study to understand how electrical bicycles change cycling behaviour and influence safety. Journal of Trauma, 12, 193-207.

Driskel, J.E., and Mullen, B. (2005). The efficacy of naps as a fatigue countermeasure: A meta-analytic integration. Human Factors, 47(2), 360-377.

Drummond, S.P., Brown, G.G., Gillin, J.C., Stricker, J.L., Wong, E.C., and Buxton, R.B. (2000). Altered brain response to verbal learning following sleep deprivation. Nature, 403(6770), 655-657.

Duncan, G.T., Elliot, M., and Salazar-Gonzalez, J.-J. (2011). Statistical Confidentiality. New York: Springer.

Durand, G., and Kales, S.N. (2009). Obstructive sleep apnea screening during commercial driver medical examinations: A survey of ACOEM members. Journal of Occupational and Environmental Medicine, 51(10), 1220-1226.

Eastman, C.I., Boulos, Z., Terman, M., Campbell, S.S., Dijk, D., and Lewy, A.J. (1995). Light treatment for sleep disorders: Consensus report. VI: Shift work. Journal of Biological Rhythms, 10(2), 157-164.

Engleman, H.M., Hirst, W.S., and Douglas, N.J. (1997). Under reporting of sleepiness and driving impairment in patients with sleep apnoea/hypopnoea syndrome. Journal of Sleep Research, 6(4), 272-275.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Federal Motor Carrier Safety Administration. (2002). Cardiovascular Advisory Panel Guidelines for the Medical Examination of Commercial Motor Vehicle Drivers (FMCSA-MCP-02-002). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Federal Motor Carrier Safety Administration. (2006). Report to Congress on the Large Truck Crash Causation Study. Available: https://www.fmcsa.dot.gov/sites/fmcsa.dot.gov/files/docs/ltccs-2006.pdf [March 2016].

Federal Motor Carrier Safety Administration. (2008). Use of Income Derived from the Commercial Driver’s License Information System for Modernization (MH-2008-059). Available: https://www.oig.dot.gov/sites/default/files/CDLIS_Final_03.pdf [March 2016].

Federal Motor Carrier Safety Administration. (2014). Pocket Guide to Large Truck and Bus Statistics. Available: https://www.fmcsa.dot.gov/sites/fmcsa.dot.gov/files/docs/FMCSA%20Pocket%20Guide%20to%20Large%20Truck%20and%20Bus%20Statistics%20-%202014%20-%20508C.pdf [March 2016].

Federal Motor Carrier Safety Administration Medical Review Board. (2008). Summary for the January 28, 2008, Medical Review Board Public Meeting. Available: https://www.fmcsa.dot.gov/summary-january-28-2008-medical-review-board-public-meeting [March 2016].

Federal Motor Carrier Safety Administration Medical Review Board. (2012). February 6, 2012 MCSAC and MRB Task 11-05: Final Report on Obstructive Sleep Apnea (OSA). Available: https://www.fmcsa.dot.gov/february-6-2012-mcsac-and-mrb-task-11-05-final-report-obstructive-sleep-apnea-osa [March 2016].

Ferrie, J.E., Shipley, M.J., Cappuccio, F.P., Brunner, E., Miller, M.A., Kumari, M., and Marmot, M.G. (2007). A prospective study of change in sleep duration: Associations with mortality in the Whitehall II cohort. Sleep, 30(12), 1659-1666.

Feuerstein, C., Naegele, B., Pepin, J.L., and Levy, P. (1997). Frontal lobe-related cognitive functions in patients with sleep apnea syndrome before and after treatment. Acta Neurologica Belgica, 97(2), 96-107.Findley, L., Smith, C., Hooper, J., Dineen, M., and Suratt, P.M. (2000). Treatment with nasal CPAP decreases automobile accidents in patients with sleep apnea. American Journal of Respiratory Critical Care Medicine, 161(3, Pt. 1), 857-859.

Findley, L., Smith, C., Hooper, J., Dineen, M., and Suratt, P.M. (2000). Treatment with nasal CPAP decreases automobile accidents in patients with sleep apnea. American Journal of Respiratory and Critical Care Medicine, 161(3), 857-859.

Ford, E.S., Cunningham, T.J., and Croft, J.B. (2015). Trends in self-reported sleep duration among US adults from 1985 to 2012. Sleep, 38(5), 829-832.

Fourie, C., Holmes, A., Bourgeois-Bougrine, S., Hilditch, C., and Jackson, P. (2010a). Fatigue Risk Management Systems: A Review of the Literature (Road Safety Research Report No. 110). London, UK: Clockwork Research.

Fourie, C., Holmes, A., Hilditch, C., Bourgeois-Bougrine, S., and Jackson, P. (2010b). Interviews with Operators, Regulators and Researchers with Experience of Implementing Fatigue Risk Management Systems (Road Safety Research Report No. 120). London, UK: Clockwork Research.

Gail, M.H. (1996). Statistics in action. Journal of the American Statistical Association, 91(433), 1-13.Gander, P.H. (2015). Evolving regulatory approaches for managing fatigue risk in transport operations. Reviews of Human Factors and Ergonomics, 10(1), 253-271.

Gander, P.H. (2015). Fatigue, Safety, and Health: New Challenges and New Solutions. Massey University, University of New Zealand. Available: http://www.ppta.org.nz/membershipforms/doc_view/2001-fatigue-safety-and-health-new-challenges-andnew-solutions-philippa-gander [April 2016}.

Gander, P.H., Millar, M., Webster, C., and Merry, A. (2008). Sleep loss and performance of anaesthesia trainees and specialists. Chronobiology International, 25(6), 1077-1091.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Garbarino, S., Nobili, L., Beelke, M., De Carli, F., Balestra, V., and Ferrillo, F. (2001). Sleep related vehicle accidents on Italian highways. Giornale Italiano di Medicina del Lavoro ed Ergonomia, 23(4), 430-434.

Garder, P., and Davies, M. (2006). Safety effect of continuous shoulder rumble strips on rural interstates in Maine. Transportation Research Record: Journal of the Transportation Research Board, 1853, 7.

Gay, P., Weaver, T., Loube, D., and Iber, C. (2006). Evaluation of positive airway pressure treatment for sleep related breathing disorders in adults: A review by the Positive Airway Pressure Task Force of the Standards of Practice Committee of the American Academy of Sleep Medicine. Sleep, 29(3), 381-401.

George, C.F., and Smiley, A. (1999). Sleep apnea and automobile crashes. Sleep, 22(6), 790-795.

George, C.F., and Smiley, A. (2001). Reduction in motor vehicle collisions following treatment of sleep apnoea with nasal CPAP. Thorax, 56(7), 508-512.

Gillberg, M. (1984). The effects of two alternative timings of a one-hour nap on early morning performance. Biological Psychology, 19(1), 45-54.

Goel, A., and Vidal, T. (2014). Hours-of-service regulations in road freight transport: An optimization-based international assessment. Transportation Science, 48(3), 391-412.

Goel, N., Rao, H., Durmer, J.S., and Dinges, D.F. (2009). Neurocognitive consequences of sleep deprivation. Seminars in Neurology, 29(4), 320-339.

Goel, N., Banks, S., Mignot, E., and Dinges, D.F. (2010). DQB1*0602 predicts interindividual differences in physiologic sleep, sleepiness, and fatigue. Neurology, 75, 1509-1519.

Greenland, S. (1989). Modeling and variable selection in epidemiologic analysis. American Journal of Public Health, 79(3), 340-349.

Guo, F., and Fang, Y. (2013). Individual driver risk assessment using naturalistic driving data. Accident Analysis and Prevention, 61, 3-9.

Guo, F., Klauer, S.G., Hankey, J.M., and Dingus, T.A. (2010). Near crashes as crash surrogates for naturalistic driving studies. Transportation Research Record: Journal of the Transportation Research Board, 2147, 66-74.

Haddon, W., Jr. (1972). A logical framework for categorizing highway safety phenomena and activity. Journal of Trauma, 12(3), 193-207.

Hanowski, R.J. (2013). Behavioural adaptation and unintended consequences: Examples from commercial vehicle operations. In C. Rudin-Brown and S. Jamson (Eds.), Behavioural Adaptation and Road Safety: Theory, Evidence and Action (pp. 323-336). Boca Raton, FL: Taylor & Francis Group (CRC Press).

Hanowski, R.J., Wierwille, W.W., Garness, S.A., and Dingus, T.A. (2000). Impact of Local/Short Haul Operations on Driver Fatigue: Final Project Report (DOT-MC-00-203). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Hanowski, R.J., Wierwille W., and Dingus T. (2003). An on-road study to investigate fatigue in local/short haul trucking. Accident Analysis and Prevention, 35(2), 153-160.

Hanowski, R.J., Hickman, J.S., Fumero, M.C., Olson, R.L., and Dingus, T.A. (2007). The sleep of commercial motor vehicle drivers under the 2003 hours-of-service regulations. Accident Analysis and Prevention, 39(6), 1140-1145.

Hanowski, R.J., Olson, R.L., Bocanegra, J., and Hickman, J.S. (2008). Analysis of Risk as a Function of Driving-Hour: Assessment of Driving-Hours 1 through 11 (FMCSA RRR-08-002). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Hanowski, R.J., Hickman, J.S., Olson, R.L., and Bocanegra, J. (2009). Evaluating the 2003 revised hours-of-service regulations for truck drivers: The impact of time-on-task on critical incident risk. Accident Analysis and Prevention, 41(2), 268-275.

Hartenbaum, N.P. (2015). Certified medical examiners and screening for obstructive sleep apnea. Journal of Occupational and Environmental Medicine, 57(3), e19-e22.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Hartenbaum, N.P., Collop, N., Rosen, I.M., Phillips, B., George, C.F., Rowley, J.A., Freedman, N., Weaver, T.E., Gurubhagavatula, I., Strohl, K., Leaman, H.M., Moffitt, G.L., and Rosekind, M.R. (2006). Sleep apnea and commercial motor vehicle operators: Statement from the Joint Task Force of the American College of Chest Physicians, American College of Occupational and Environmental Medicine, and the National Sleep Foundation. Journal of Occupational and Environmental Medicine, 48(Suppl. 9), S4-S37.

Hartley, L., Horberry, T., Mabbott, N., and Krurger. G.P. (2000). Review of Fatigue Detection and Prediction Technologies. Melbourne, Australia: Murdoch University Institute for Research in Safety and Transport, Australian National Road Transport Commission.

Hauer, E. (1995). On exposure and accident rate. Traffic Engineering and Control, 36(3), 134-138.

Hayashi, M., Masuda, A., and Hori, T. (2003). The alerting effects of caffeine, bright light and face washing after a short daytime nap. Clinical Neurophysiology, 114(12), 2268-2278.

He, Y., Jones, C.R., Fujiki, N., Xu, Y., Guo, B., Holder, J.L., Jr., Rossner, M.J., et al. (2009). The transcriptional repressor DEC2 regulates sleep length in mammals. Science, 325(5942), 866-870.

Hebert, M. (2014). Feature Extraction from Videos. Presentation at the Second Meeting of the Panel on Research Methodologies and Statistical Approaches to Understanding Driver Fatigue Factors in Motor Carrier Safety and Driver Health, May 28-29, National Research Council, Washington, DC.

Hedlund, J., and Blower, D. (2006). Large Truck Crash Causation Study (LTCCS) Analysis Series: Using LTCCS Data for Statistical Analysis of Crash Risk (FMCSA-RI-05-037). Washington, DC: Federal Motor Carrier Safety Administration.

Hege, A., Perko, M., Johnson, A., Yu, C.H., Sönmez, S., and Apostolopoulos, Y. (2015). Surveying the impact of work hours and schedules on commercial motor vehicle driver sleep. Safety Health Work, 6(2), 104-113.

Hernán, M.A., and Robins, J.M. (2006). Instruments for causal inference: An epidemiologist’s dream? Epidemiology, 17(4), 360-372.

Hernán, M.A., and Robins, J.M. (2008). Observational studies analyzed like randomized experiments: Best of both worlds. Epidemiology, 19(6), 789-792.

Heslegrave, R.J., and Angus, R.G. (1985). The effects of task duration and work-session location on performance degradation induced by sleep loss and sustained cognitive work. Behavioral Research Methods, Instruments and Computers, 17(6), 592-603.

Hickman, J.S., and Hanowski, R.J. (2011). Use of a video monitoring approach to reduce at risk driving behaviors in commercial vehicle operations. Transportation Research Part F: Traffic Psychology and Behavior, 14(3), 188-198.

Hill, A.B. (1965). The environment and disease: Association or causation? Proceedings of the Royal Society of Medicine, 58(5), 295-300.

Hill, J.L. (2011). Bayesian nonparametric modeling for causal inference. Journal of Computational and Graphical Statistics, 20(1), 217-240.

Hirano, K., Guido, I.W., Ridder, G., and Rubin, D.B. (2001). Combining panel data sets with attrition and refreshment samples. Econometrica, 69(6), 1645-1659.

Hoenig, J.M., and Heisey, D.M. (2001). The abuse of power: The pervasive fallacy of power calculations in data analysis. The American Statistician, 55(1), 19-24.

Holland, P.W. (1986). Statistics and causal inference. Journal of the American Statistical Association, 81(396), 945-960.

Holland, P.W. (1988). Causal mechanism or causal effect? Which is best for Statistical Science? Statistical Science, 3(2), 186-188.

Horne, J.A., and Foster, S.C. (1995). Can exercise overcome sleepiness? Sleep Research, 24A, 437.

Horne, J.A., and Reyner, L.A. (1995). Sleep related vehicle accidents. British Medical Journal, 310(6979), 565-567.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Hortsmann, S., Hess, C.W., Bassetti, C., Gugger, M., and Mathis, J. (2000). Sleepiness-related accidents in sleep apnea patients. Sleep, 23(3), 383-389.

Hsu, J.Y., and Small, D.S. (2013). Calibrating sensitivity analyses to observed covariates in observational studies. Biometrics, 69(4), 803-811.

Huang, W., Ramsey, K.M., Marcheva, B., and Bass, J. (2011). Circadian rhythms, sleep, and metabolism. Journal of Clinical Investigation, 121, 2133-2141.

Hursh, S.R., Redmond, D.P., Johnson, M.L., Thorne, D.R., Belenky, G., Balkin, T.J., Storm, W.F., Miller, J.C., and Eddy, D.R. (2004). Fatigue models for applied research in war-fighting. Aviation, Space, and Environmental Medicine, 75(3), 44-53.

Institute of Medicine. (2006). Sleep Disorders and Sleep Deprivation: An Unmet Public Health Problem. H.R. Colten and B.M. Altevogt (Eds.). Committee on Sleep Medicine and Research. Board on Health Sciences Policy. Washington, DC: The National Academies Press.

Jackson, J., Albert, P.S., Zhang, Z., and Simons-Morton, B. (2013). Ordinal latent variable models and their application in the study of newly licensed teenage drivers. Journal of the Royal Statistical Society: Series C, 62(3), 435-450.

Jackson, J.C., Albert, P.S., and Zhang, Z. (2015). A two-state mixed hidden Markov model for risky teenage driving behavior. Annals of Applied Statistics, 9, 849-865.

Jewett, M.E., Wyatt, J.K., Ritz-De Cecco, A., Khalsa, S.B., Dijk, D.J., and Czeisler, C.A. (1999). Time course of sleep inertia dissipation in human performance and alertness. Journal of Sleep Research, 8(1), 1-8.

Joffe, M.M., and Greene, T. (2009). Related causal frameworks for surrogate outcomes. Biometrics, 65(2), 530-538.

Jonasson, J.K., and H. Rootzén. (2014). Internal validation of near-crashes in naturalistic driving studies: A continuous and multivariate approach. Accident Analysis and Prevention, 62, 102-109.

Jones, I., and Stein, H. (1989). Defective equipment and tractor-trailer crash involvement. Accident Analysis and Prevention, 21(5), 469-481.

Jordan, A., McSharry, D., and Malhotra, A. (2014). Adult obstructive sleep apnea. The Lancet, 22, 736-747.

Jovanis, P.P., Wu, K.F., and Chen, C. (2011). Hours of Service and Driver Fatigue: Driver Characteristic Research (FMCSA-RRR-11-018). Washington, DC: Federal Motor Carrier Safety Administration.

Kaneko, Y., Hajek, V.E., Zivanovic, V., Raboud, J., and Bradley, T.D. (2003). Relationship of sleep apnea to functional capacity and length of hospitalization following stroke. Sleep, 26(3), 293-297.

Khan, M., Abdel-Rahim, A., and Williams, C.J. (2015). Potential crash reduction benefits of shoulder rumble strips in two-lane rural highways. Accident Analysis and Prevention, 75, 35-42.

Kim, H.C., Young, T., Matthews, C. G., Weber, S.M., Woodard, A.R., and Palta, M. (1997). Sleep-disordered breathing and neuropsychological deficits: A population-based study. American Journal of Respiratory and Critical Care Medicine, 156(6), 1813-1819.

Kim, S., Chen, Z., Simons-Morton, B.G., and Albert, P.S. (2013). Bayesian hierarchical Poisson regression models: An application to a driving study with kinematic events. Journal of the American Statistical Association, 108(502), 494-503.

Knipling, R.R. (2015). Review of Commercial Driver Fatigue Research Methodologies. Commissioned paper for the National Academies of Sciences, Engineering, and Medicine Panel on Research Methodologies and Statistical Approaches to Understanding Driver Fatigue Factors in Motor Carrier Safety and Driver Health, Washington, DC. Available: http://nas.edu/DriverFatigue_Knipling_Paper [March 2016].

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Knipling, R.R., and Wang, J.-S. (1994). Crashes and Fatalities Related to Driver Drowsiness/Fatigue. Washington, DC: National Highway Traffic Safety Administration

Knipling, R.R., and Wang, J.-S. (1995). Revised Estimates of the U.S. Drowsy Driver Crash Problem Size Based on General Estimates System Case Reviews. 39th Annual Proceedings, Association for the Advancement of Automotive Medicine, October, Chicago, IL.

Kribbs, N.B., Pack, A.I., Kline, L.R., Smith, P.L., Schwartz, A.R., Schubert, N.M., Redline, S., Henry, J.N, Getsy, J.E., and Dinges, D.F. (1993). Objective measurement of patterns of nasal CPAP use by patients with obstructive sleep apnea. American Review of Respiratory Disease, 147(4), 887-895.

Krueger, G.P. (2008). Health, wellness, fitness and commercial driver safety: A review of the issues. Journal of the Washington Academy of Sciences, 94(3), 31-59.

Krueger, G.P. (2010a). Psychoactive medications, stimulants, hypnotics, and nutritional aids: Effects on driving alertness and performance. Journal of the Washington Academy of Sciences, 96(4), 51-85.

Krueger, G.P. (2010b). Overview: Research on the Health and Wellness of Commercial Truck and Bus Drivers. Summary of an International Conference, November 8-10, Baltimore, MD.

Krueger, G.P. (2012). Research on the Health and Wellness of Commercial Truck and Bus Drivers: Summary of an International Conference. Washington DC: Transportation Research Board. Available: http://onlinepubs.trb.org/onlinepubs/conf/cpw5.pdf [April 2016].

Krueger, G.P., and Brewster, R.M. (2002). Gettin’-in-Gear: Wellness, Health, and Fitness Program for Commercial Drivers: Instructors Manual. Alexandria, VA: American Trucking Associations’ American Transportation Research Institute and Federal Motor Carrier Safety Administration.

Krueger, G.P., and Van Hemel, S.B. (1997). Behavioral Task Analysis of Truck Drivers Loading and Unloading Trucks: Relationship to Driver Fatigue, Alertness, and Driving Safety. Final Report.

Krueger, G.P., Brewster, R.M., Dick, V.R., Inderbitzen, R., and Staplin, L. (2007). Health and Wellness Programs for Commercial Drivers (Commercial Truck and Bus Safety Synthesis 15). Washington, DC: Transportation Research Board.

Krueger, G.P., Leaman, H.M., and Bergoffen, G. (2011). Effects of Psychoactive Chemicals on Commercial Driver Health and Performance: Stimulants, Hypnotics, Nutritional, and other Supplements (Commercial Truck and Bus Safety Synthesis 19). Washington, DC: Transportation Research Board.

Kucjarczyk, E.R., Morgan, K., and Hall, A.P. (2012). The occupational impact of sleep quality and insomnia symptoms. Sleep Medicine Reviews, 16(6), 547-559.

Lavie, P. (1986). Ultrashort sleep-waking schedule. III: “Gates” and “forbidden zones” for sleep. Electroencephalography and Clinical Neurophysiology, 63(5), 414-425.

LeDuc, P.A., Caldwell, J.A., and Ruyak, P.S. (2000). The Effects of Exercise versus Napping on Alertness and Mood in Sleep-Deprived Aviators (Technical Report 2000-2012). Fort Rucker, AL: U.S. Aeromedical Research Laboratory.

Léger, D., and Bayon, V. (2010). Societal costs of insomnia. Sleep Medicine Reviews, 14(6), 379-389.

Lerman, S.E., Eskin, E., Flower, D.J., George, E.C., Gerson, B., Hartenbaum, N., Hursh, S.R., and Moore-Ede, M. (2012). ACOEM guidance statement: Fatigue risk management in the workplace. Journal of Occupational and Environmental Medicine, 54(2), 231-258.

Lim, J., and Dinges, D.F. (2008). Sleep deprivation and vigilant attention. Annals of the New York Academy of Sciences, 1129, 305-322.

Lim, J., and Dinges, D.F. (2010). A meta-analysis of the impact of short-term sleep deprivation on cognitive variables. Psychological Bulletin, 136(3), 375-389.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Lim, J., Wu, W-C., Wang, J., Detre, J.A., Dinges, D.F., and Rao, H. (2010). Imaging brain fatigue from sustained mental workload: An ASL perfusion study of the time-on-task effect. NeuroImage, 49(4), 3426-3435.

Liu, W., Kuramoto, S.J., and Stuart, E.A. (2013). An introduction to sensitivity analysis for unobserved confounding in nonexperimental prevention research. Prevention Science, 14(6), 570-580.

Lund, A.K., Preusser, D.F., Blomberg, R.D, and Williams, A.F. (1988). Drug use by tractor-trailer drivers. Journal of Forensic Sciences, 33(3), 648-661.

Mackie, R.R., and Miller, J.C. (1978). Effects of Hours of Service Regularity of Schedules, and Cargo Loading on Truck and Bus Driver Fatigue. Washington, DC: National Highway Traffic Safety Administration and Bureau of Motor Carrier Safety, U.S. Department of Transportation.

Maclure, M., and Mittleman, M.A. (2000). Should we use a case-crossover design? Annual Review of Public Health, 21, 193-221.

Mallis, M.M., and Dinges, D.F. (2005). Monitoring alertness by eyelid closure. In N. Stanton, A. Hedge, K. Brookhuis, E. Salas, and H. Hendrick (Eds.), The Handbook of Human Factors and Ergonomics Methods (pp. 25.1-25.6). New York: CRC Press.

Mallis, M.M., and James, F.O. (2012). The role of alertness monitoring in sustaining cognition during sleep loss. In N.J. Wesensten and T.J. Balkin (Eds.), Sleep Deprivation, Stimulant Medications, and Cognition (Ch. 15) (pp. 209-222). New York: Cambridge University Press.

Mallis, M.M., Maislin, G., Konowal, N., Byrne, V., Bierman, D., Davis, R., Grace, R., and Dinges, D.F. (1998). Biobehavioral Responses to Drowsy Driving Alarms and Alerting Stimuli. Washington, DC: U.S. Department of Transportation.

Mallis, M.M., Mejdal, S., Nguyen, T.T., and Dinges, D.F. (2004). Summary of the key features of seven biomathematical models of human fatigue and performance. Aviation, Space, and Environmental Medicine, 75(Suppl. 3), A4-A14.

Mallis, M.M., Banks, S., and Dinges, D.F. (2007). Sleep and circadian control of neurobehavioral functions. In R. Parasuraman and M. Rizzo (Eds.), Neuroergonomics: The Brain at Work (pp. 207-220). Oxford, UK: Oxford University Press.

Mannering, F., and Bhat, C. (2014). Analytic methods in accident research: Methodological frontier and future directions. Analytic Methods in Accident Research, 1, 1-22.

Matsumoto, Y., Mishima, K., Satoh, K., Shimizu, T., and Hishikawa, Y. (2002). Physical activity increases the dissociation between subjective sleepiness and objective performance levels during extended wakefulness in human. Neuroscience Letters, 326(2), 133-136.

McArthur, A., Kay, J., and Savolainen, P. (2013). The Effects of Public Rest Areas on Fatigue-Related Crashes. Proceedings of the 92nd Annual Meeting of the Transportation Research Board, January, Washington, DC.

McCartt, A.T., Hellinga, L.A., and Solomon, M.G. (2008). Work schedules of long-distance truck drivers before and after 2004 hours-of-service rule change. Traffic in Prevention, 9(3), 201-210.

McCauley, P., Kalachev, L.V., Smith, A.D., Belenky, G., Dinges, D.F., and Van Dongen, H.P. (2009). A new mathematical model for the homeostatic effects of sleep loss on neurobehavioral performance. Journal of Theoretical Biology, 256(2), 227-239.

McCauley, P., Kalachev, L.V., Mollicone, D.J., Banks, S., Dinges, D.F., and Van Dongen, H.P. (2013). Dynamic circadian modulation in a mathematical model for the effects of sleep and sleep loss on waking neurobehavioral performance. Sleep, 36(12), 1989-1999.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

McClafferty, J.A., Hankey, J.M., and Perez, M.A. (2015). Description of the SHR2 Naturalistic Database and the Crash, Near-Crash, and Baseline Data Sets Task Report. Virginia Tech Transportation Institute, Blacksburg, VA. Prepared for The Strategic Highway Research Program 2 Transportation Research Board of The National Academies. Available: http://vtechworks.lib.vt.edu/bitstream/handle/10919/70850/SHRP_2_CrashNearCrashBaselineReport_4-25-16.pdf?sequence=1&isAllowed=y [April 2016].

McCormick, F., Kadzielski, J., Evans, B.T., Landrigan, C.P., Herndon, J., and Rubash, H. (2013). Fatigue optimization scheduling in graduate medical education: Reducing fatigue and improving patient safety. Journal of Graduate Medical Education, 5(1), 107-111.

McDonald, A.D., Lee, J.D., Aksan, N.S., Dawson, J.D., Tippin, J., and Rizzo, M. (2013). The language of driving: Advantages and applications of symbolic data reduction for analysis of naturalistic driving data. Transportation Research Record, 2392, 22-30.

McKnight-Eily, L.R., Liu, Y., Perry, G.S., Presley-Cantrell, L.R., Strine, T.W., Lu, H., and Croft, J.B. (2009). Perceived insufficient rest or sleep among adults—United States, 2009. Journal of the American Medical Association, 302(23), 2532.

McKnight-Eily, L.R., Liu, Y., Croft, J.B., Perry, G.S., and Strine, T. (2011). Unhealthy Sleep-Related Behaviors—12 States, 2009. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention.

Meyer, B.D. (1995). Natural and quasi-experiments in economics. Journal of Business & Economic Statistics, 13(2), 151-161.

Mitler, M.M., Carskadon, M.A., Czeisler, C.A., Dement, W.C., Dinges, D.F., and Graeber, R.C. (1988). Catastrophes, sleep, and public policy: Consensus report. Sleep, 11(1), 100-109.

Mittleman, M.A., Maclure, M., Sherwood, J.B., Mulry, R.P., Tofler, G.H., Jacobs, S.C., Friedman, R., Benson, H., and Muller, J.E. (1995). Triggering of acute myocardial infarction onset by episodes of anger. Determinants of Myocardial Infarction Onset Study Investigators. Circulation, 92(7), 1720-1725.

Mollicone, D.J., Van Dongen, H.P.A., and Dinges, D.F. (2007). Optimizing sleep/wake schedules in space: Sleep during chronic nocturnal sleep restriction with and without diurnal naps. Acta Astronautica, 60, 354-361.

Mollicone, D.J., Van Dongen, H.P.A., Rogers, N.L., and Dinges, D.F. (2008). Response surface mapping of neurobehavioral performance: Testing the feasibility of split sleep schedules for space operations. Acta Astronautica, 63(7-10), 833-840.

Mollicone, D.J., Van Dongen, H.P.A., Rogers, N.L., Banks, S., and Dinges, D.F. (2010). Time of day modulates the effects of chronic sleep restriction on neurobehavioral performance. Aviation, Space and Environmental Medicine, 81(8), 735-744.

Monaco, K., and Williams E. (2000). Assessing the determinants of safety in the trucking industry. Journal of Transportation and Statistics, 3(1), 69-79.

Moscovitch, A., Reimer, M., Heslegrave, R., Boivin, D., Hirshkowitz, M., Rhodes, W., and Kealey, M. (2006). Development of a North-American Fatigue Management Program for Commercial Motor Carriers: Phase II (Pilot Study). Ottawa, ON: Canadian Sleep Institute.

Moses, L.N., and Savage, I. (1996). Identifying dangerous trucking firms. Risk Analysis, 16(3), 351-358.

Mulgrew, A.T., Nasvadi, G., Butt, A., Cheema, R., Fox, N., Fleetham, JA, Ryan, CF., Cooper, P., and Ayas, N.T. (2008). Risk and severity of motor vehicle crashes in patients with obstructive sleep apnoea/hypopnoea. Thorax, 63(6), 536-541.

Najm, W., Koopmann, J., Smith, J.D., and Brewer, J. (2010). Frequency of Target Crashes for IntelliDrive Safety Systems (DOT HS 811 381). Washington, DC: National Highway Traffic Safety Administration.

National Center for Health Statistics. (2015). Health, United States, 2014, with Special Feature on Adults Aged 55-64. Hyattsville, MD: National Center for Health Statistics.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

National Highway Traffic Safety Administration and Federal Motor Carrier Safety Administration. (2006a). Large Truck Crash Causation Study Analytical User’s Manual. Washington, DC: National Highway Traffic Safety Administration, Federal Motor Carrier Safety Administration.

National Highway Traffic Safety Administration and Federal Motor Carrier Safety Administration. (2006b). Large Truck Crash Causation Study Codebook. Available: https://s3.amazonaws.com/cmisst.media/LTCCS_Codebook_060106_v6.pdf [March 2016].

National Highway Traffic Safety Administration and Federal Motor Carrier Safety Administration. (2012). Large Truck Crash Causation Survey Case Viewer. Search criteria. Available: http://www-nass.nhtsa.dot.gov/nass/ltccs/SearchForm.aspx [March 2016].

National Registry of Certified Medical Examiners. (2012). Medical Examiner Sample Training Handbook. Available: http://nrcme.fmcsa.dot.gov/documents/ME_Training_Document.pdf [March 2016].

National Sleep Foundation. (2012). 2012 Sleep in America Poll: Transportation Workers’ Sleep. Available: https://sleepfoundation.org/sleep-polls-data/sleep-in-america-poll/2012-transportation-workers-and-sleep [March 2016].

National Transportation Safety Board. (1990). Fatigue, Alcohol, Other Drugs, and Medical Factors in Fatal-to-the-Driver Heavy Truck Crashes, Safety Study (NTSB/SS-90/01). Washington, DC: National Transportation Safety Board.

National Transportation Safety Board. (2009). NTSB Safety Recommendation H-09-015 and 016. Available: http://www.ntsb.gov/safety/safety-recs/RecLetters/H09_15_16.pdf [March 2016].

Nehlig, A. (1999). Are we dependent upon coffee and caffeine? A review on human and animal data. Neuroscience and Biobehavioral Reviews, 23(4), 563-576.

Neri, D.F., Wiegmann, D., Stanny, R.R., Shappell, S.A., McCardie, A., and McKay, D.L. (1995). The effects of tyrosine on cognitive performance during extended wakefulness. Aviation, Space, and Environmental Medicine, 66(4), 313-319.

Neri, D.F., Oyung, R.L., Colletti, L.M., Mallis, M.M., Tam, P.Y., and Dinges, D.F. (2002). Controlled breaks as a fatigue countermeasure on the flight deck. Aviation, Space, and Environmental Medicine, 73(7), 654-664.

Newhouse, J.P., and McClellan, M. (1998). Econometrics in outcomes research: The use of instrumental variables. Annual Review of Public Health, 19, 17-34.

Nowak, M., Kornhuber, J., and Meyrer, R. (2006). Daytime impairment and neurodegeneration in OSAS. Sleep, 29(12), 1521-1530.

O’Neill, T.R., Krueger, G.P., Van Hemel, S.B., McGowan, A.L, and Rogers, W.C. (1999). Effects of cargo loading and unloading on truck driver alertness. Transportation Research Record, 1686(99-0789), 42-48.

Ong, J.L., Asplund, C.L., Chia, T.T., and Chee, M.W. (2013). Now you hear me, now you don’t: Eyelid closures as an indicator of auditory task disengagement. Sleep, 36(12), 1867-1874.

OOIDA Foundation. (2015). Owner-Operator and Professional Employee Driver Facts. Available: Owner-Operator and Professional Employee Driver Facts. Available: http://www.ooida.com/OOIDA%20Foundation/RecentResearch/OOfacts.asp [March 2016].

Pack, A.I., Pack, A.M., Rodgman, E., Cucchiara, A., Dinges, D.F., and Schwab, C.W. (1995). Characteristics of crashes attributed to the driver having fallen asleep. Accident Analysis and Prevention, 27(6), 769-775.

Pack, A.I., Dinges, D.F., and Maislin, G. (2002). A Study of Prevalence of Sleep Apnea among Commercial Truck Drivers (DOT-RT-02-030). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Pack, A.I., Maislin, G., Staley, B., Pack, F.M., Rogers, W., George, C.F.P., and Dinges, D.F. (2006). Impaired performance in commercial drivers: Role of sleep apnea and sleep duration. American Journal of Respiratory and Critical Care Medicine, 174(4), 446-454.

Patel, R.B., Council, F.M., and Griffith, M.S. (2007). Estimating Safety Benefits of Shoulder Rumble Strips on Two Lane Rural Highways in Minnesota: An Empirical Bayes Observational Before-After Study. TRB 86th Annual Meeting: Compendium of Papers CD-ROM, Washington, DC.

Pearl, J., and Bareinboim, E. (2011). External validity: From do-calculus to transportability across populations. Statistical Science, 29(4), 579-595.

Pellegrino, R., Kayakli, I.H., Goel, N., Cardinale, C.J., Dinges, D.F., Kuna, S.T., Maislin, et al. (2014). A novel BHLHE41 variant is associated with short sleep and resistance to sleep deprivation in humans. Sleep, 37(8), 1327-1336.

Punjabi, N. M., Bandeen-Roche, K., and Young, T. (2003). Predictors of objective sleep tendency in the general population. Sleep, 26(6), 678-683.

Putcha, D., Blower, D., and Campbell, K.L. (2002). Bus accidents in the United States, 1995-1999. In A.G. Zacharia (Ed.), International Truck and Bus Safety Research and Policy Symposium (pp. 261-272). Knoxville, TN: University of Tennessee Center for Transportation Research and National Safety Council.

Quan, S.F., and Barger, L.K. (2015). Brief review: Sleep health and safety for transportation workers. Southwest Journal of Pulmonary and Critical Care, 10(3), 130-139.

Reason, J. (1990). Human Error. New York: Cambridge University Press.

Rizzo, M. (2011). Impaired driving from medical conditions: A 70-year-old-man trying to decide if he should continue driving. Journal of the American Medical Association, 305(10), 1018-1026.

Robins, J.M., Hernan, M.A., and Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11(5), 550-560.

Rodríguez, D.A., Targa, F., and Belzer, M.H. (2006). Pay incentives and truck driver safety: A case study. Industrial and Labor Relations Review, 59(2), article 2.

Rogers, N.L., Dorrian, J., and Dinges, D.F. (2003). Sleep, waking and neurobehavioural performance. Frontiers in Bioscience, 8, S1056-S1067.

Rosekind, M.R., Graeber, R.C., Dinges, D.F., Connell, L.J., Rountree, M., Spinweber, C.L., and Gillen, K.A. (1994). Crew Factors in Flight Operations. IX: Effects of Cockpit Rest on Crew Performance and Alertness in Long-Haul Operations (Report No. DOT/FAA/92/24). Moffett Field, CA: NASA Ames Research Center.

Rosenbaum, P.R. (1987). The role of a second control group in an observational study (with discussion). Statistical Science, 2(3), 292-316.

Rosenbaum, P.R. (2002). Observational Studies (2nd Edition). New York: Springer-Verlag.

Rosenbaum, P.R. (2004). Design sensitivity in observational studies. Biometrika, 91(1), 153-164.

Rosenbaum, P.R. (2005). Sensitivity analysis in observational studies. In B.S. Everitt and D.C. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science (Vol. 4) (pp. 1809-1814). Chichester, UK: John Wiley.

Rosenbaum, P.R. (2009). Evidence factors in observational studies. Biometrika, 97(2), 333-345.

Rosenbaum, P.R., and Rubin, D.B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55.

Rubin, D.B. (1997). Estimating causal effects from large data sets using propensity scores. Annals of Internal Medicine, 127(8, Pt. 2), 757-763.

Ruehland, W.R., Rochford, P.D., O’Donoghue, F.J., Pierce, R.J., Singh, P., and Thornton, A.T. (2009). The new AASM criteria for scoring hypopneas impact on the apnea/hypopnea index. Sleep, 32(2), 150-157.

Runyan, C. (1998). Using the Haddon matrix: Introducing the third dimension. Injury Prevention, 4(4), 302-307.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Saltzman, G.M., and Belzer, M.H. (2007). Truck Driver Occupational Safety and Health: 2003 Conference Report and Selective Literature Review (2007-120). Washington, DC: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Department of Health and Human Services.

Sayed, T., P. deLeur, and J. Pump. (2010). Impact of Rumble Strips on Collision Reduction on BC Highways: A Comprehensive Before and After Safety Study. TRB 89th Annual Meeting Compendium of Papers CD-ROM, Washington, DC.

Schutte-Rodin, S., Broch, L., Buysee, D., Dorsey, C., and Satela, M. (2008). Clinical guideline for the evaluation and management of chronic insomnia in adults. Journal of Clinical Sleep Medicine, 4(5), 487-504.

Schweitzer, P.K., Muehlback, M.J., and Walsh, J.K. (1992). Countermeasures for night work performance deficits: The effect of napping or caffeine on continuous performance at night. Work and Stress, 6(4), 355-365.

Scott, L.D., Hwang, W.T., Rogers, A.E., Nysse, T., Dean, G.E., and Dinges, D.F. (2007). The relationship between nurse work schedules, sleep duration, and drowsy driving. Sleep, 30(12),1801-1807.

Shadish, W.R., Cook, T.D., and Campbell, D.T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston, MA: Houghton Mifflin.

Shaikh, S., and Krishnan, P. (2012). A Framework for Analysing Driver Interactions with Semi-Autonomous Vehicles. Paper presented at the First International Workshop on Formal Techniques for Safety-Critical Systems (FTSCS 2012), November 12, Kyoto, Japan.

Shepherd, B.E., Gilbert, P.B., and Mehrotra, D. (2007). Eliciting a counterfactual sensitivity parameter. The American Statistician, 61(1), 56-63.

Short, J., Boyle, L., Shackleford, S., Inderbitzen, B., and Bergoffen, G. (2007). The Role of Safety Culture in Preventing Commercial Motor Vehicle Crashes (Commercial Truck and Bus Safety Synthesis 14). Washington, DC: Transportation Research Board.

Sieber, W.K., Robinson, C.F., Birdsey, J., Chen, G.X., Hitchcock, E.M., Lincoln, J.E., Nakata, A., and Sweeney, M.H. (2014). Obesity and other risk factors: The national survey of U.S. long-haul truck driver health and injury. American Journal of Industrial Medicine, 57(6), 615-626.

Small, D., and Rosenbaum, P.R. (2008). War and wages: The strength of instrumental variables and their sensitivity to unobserved biases. Journal of the American Statistical Association, 103(483), 924-933.

Smiley, A., Smahel. T., Boivin, D., Boudreau, P., Remmers, J., Turner, M., Rosekind, M.R., and Gregory, K.B. (2009). Effects of a Fatigue Management Program on Fatigue in the Commercial Motor Carrier Industry. Toronto, ON: Human Factors North, Inc.

Smith, E.B., and Ivan, J.N. (2005). Evaluation of Safety Benefits and Potential Crash Migration Due to Shoulder Rumble Strip Installation on Freeways in Connecticut. TRB 84th Annual Meeting Compendium of Papers CD-ROM, Washington, DC.

Smolensky, M.H., DiMilia, L., Ohayon, M.M., and Philip, P. (2011). Sleep disorders, medical conditions, and road accident risk. Accident Analysis and Prevention, 43(2), 533-548.

Snyder, Q. (2013). A Primer on Obstructive Sleep Apnea. Washington, DC: Air Line Pilots Association, International.

Soccolich, S.A., Blanco, M., Hanowski, R.J., Olson, R.L., Morgan, J.F., Guo, F., and Wu, S.-C. (2013). An analysis of driving and working hour on commercial motor vehicle driver safety using naturalistic data collection. Accident Analysis and Prevention, 58, 249-258.

Spaeth, A.M., Goel, N., and Dinges, D.F. (2014). The cumulative neurobehavioral and physiological effects of chronic caffeine intake: Individual differences and implications for the use of caffeinated energy products. Nutrition Reviews, 72(Suppl. 1), 34-47.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

SRF Consulting Group, Inc. (2007). Interstate Highway Safety Study: Analysis of Vehicle Crashes Related to Safety Rest Area Spacing. Duluth, MN: Minnesota Department of Transportation.

Starnes, M. (2006). Large-Truck Crash Causation Study: An Initial Overview (DOT HS 810 646). Washington, DC: National Highway Traffic Safety Administration, National Center for Statistics and Analysis.

Stein, H., and Jones, I. (1988). Crash involvement of large trucks by configuration: A case-control study. American Journal of Public Health, 78(5), 491-498.

Stepanski, E.J., and Wyatt, J.K. (2003). Use of sleep hygiene in the treatment of insomnia. Sleep Medicine Reviews, 7(3), 215-225.

Stevenson, M., Grunstein, R.R., Wong, K., Sharwood, L., and Elkington, J. (2014). The role of sleepiness, sleep disorders, and the work environment on heavy-vehicle crashes in two Australian states. American Journal of Epidemiology, 179(5), 594-601. doi 10.1093/aje/kwt305. Available: http://aje.oxfordjournals.org/content/179/5/594.full.pdf+html [April 2016].

Strine, T.W., and Chapman, D.P. (2005). Associations of frequent sleep insufficiency with health-related quality of life and health behaviors. Sleep Medicine, 6(1), 23-27.

Stuart, E. (2010). Matching methods for causal inference: A review and a look forward. Statistical Science, 25(1), 1-21.

Stuart, E.A., and Rubin, D.B. (2008). Matching with multiple control groups and adjusting for group differences. Journal of Educational and Behavioral Statistics, 33(3), 279-306.

Surani, S.R. (2014). Diabetes, sleep apnea, obesity and cardiovascular disease: Why not address them together? World Journal of Diabetes, 5(3), 381-384.

Tarko, A.P. (2012). Use of crash surrogates and exceedance statistics to estimate road safety. Accident Analysis and Prevention, 45, 230-240.

Taylor, W.C., Sung, N., Kolody, K.A., and Jawad, A. (1999). A Study of Highway Rest Area Characteristics and Fatigue Related Truck Crashes. East Lansing, MI: Michigan State University, Civil and Environmental Engineering.

Tefft, B.C. (2010). Asleep at the Wheel: The Prevalence and Impact of Drowsy Driving. Washington, DC: AAA Foundation for Traffic Safety.

Tefft, B.C. (2014). Prevalence of Motor Vehicle Crashes Involving Drowsy Drivers, United States, 2009-2013. Washington, DC: AAA Foundation for Traffic Safety.

Teran-Santos, J., Jimenez-Gomez, A., and Cordero-Guevara, J. (1999). The association between sleep apnea and the risk of traffic accidents. Cooperative Group Burgos-Santander. New England Journal of Medicine, 340(11), 847-851.

Thiese, M.S., Moffitt, G., Hanowski, R.J., Kales, S.N., Porter, R.J., and Hegmann, K.T. (2015a). Commercial driver medical examinations: Prevalence of obesity, comorbidities, and certification outcomes. Journal of Occupational and Environmental Medicine, 57(6), 659-665.

Thiese, M.S., Moffitt, G., Hanowski, R.J., Kales, S.N., Porter, R.J., and Hegmann, K.T. (2015b). Repeated cross-sectional assessment of commercial truck driver health. Journal of Occupational and Environmental Medicine, 6(2), 104-112.

Thiffault, P. (2011). Addressing Human Factors in the Motor Carrier Industry in Canada. Ottawa, ON: Canadian Council of Motor Transport Administrators. Available: http://www.bv.transports.gouv.qc.ca/mono/1081534.pdf [March 2016].

Thiffault, P., and Bergeron, J. (2003). Monotony of road environment and drivers fatigue: A simulator study. Accident Analysis and Prevention, 35(3), 381-391.

Thompson, J., Newman, S., and Stevenson, M. (2015). A model for exploring the relationship between payment structures, fatigue, crash risk, and regulatory response in a heavy-vehicle transportation system. Transportation Research Part A: Policy and Practice, 82, 204-215.

Tilley, A.J., Wilkinson, R.T., Warren, P.S.G., Watson, B., and Drud, M. (1982). The sleep and performance of shift workers. Human Factors, 24(6), 629-641.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Tregear, S., Reston, J., Schoelles, K., and Phillips, B. (2009a). Continuous positive airway pressure reduces risk of motor vehicle crash among drivers with obstructive sleep apnea: Systematic review and meta-analysis. Sleep, 33(10), 1373-1380.

Tregear, S., Reston, J., Schoelles, K., and Phillips, B. (2009b). Obstructive sleep apnea and risk of motor vehicle crash: Systematic review and meta-analysis. Journal of Clinical Sleep Medicine, 5(6), 573-581.

Turino, G.M., Bernstein, L., Dauber, J.H., George, R.D., Golding, R.M., Hudson, L.D., Kin, T.E., Manhay, R.A., Maynock, T.L., Panerson, R., Richerson, H.B., Rodarte, J.R., Scharer, L., Stover, D.E., and Zwillich, C.W. (1991). Conference on Pulmonary/Respiratory Disorders and Commercial Drivers (FHWA-MC-91-004). Available: https://www.fmcsa.dot.gov/regulations/medical/conference-pulmonaryrespiratory-disorders-and-commercialdrivers [March 2016].

U.S. Bureau of Labor Statistics. (2014). Heavy and Tractor-Trailer Truck Drivers. Available: http://www.bls.gov/ooh/transportation-and-material-moving/heavy-and-tractortrailer-truck-drivers.htm [March 2016].

U.S. Department of Transportation. (2013). Large Truck and Bus Crash Facts 2013 (FMCSA-RRA-15-004). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

U.S. Department of Transportation. (2014). Passenger Travel Facts and Figures 2014. Available: http://www.rita.dot.gov/bts/publications/passenger_travel [March 2016].

U.S. Federal Highway Administration. (1996). Commercial Driver Rest & Parking Requirements: Making Space for Safety (FHWA-MC-96-0010). Washington, DC: U.S. Department of Transportation, U.S. Federal Highway Administration.

U.S. Federal Highway Administration. (2013). Highway Statistics 2013. Available: http://www.fhwa.dot.gov/policyinformation/statistics/2013 [March 2016].

Van Dongen, H.P.A., and Belenky, G. (2010). Investigation into Motor Carrier Practices to Achieve Optimal Commercial Motor Vehicle Driver Performance: Phase I (FMCSA-RRR-10-005). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Van Dongen, H.P.A., and Mollicone, D.J. (2014). Field Study on the Efficacy of the New Restart Provision for Hours of Service (RRR-13-058). Washington, DC: U.S. Department of Transportation, Federal Motor Carrier Safety Administration.

Van Dongen, H.P.A., Price, N.J., Mullington, J.M., Szuba, M.P., Kapoor, S.C., and Dinges, D.F. (2001). Caffeine eliminates psychomotor vigilance deficits from sleep inertia. Sleep, 24(7), 813-819.

Van Dongen, H.P.A., Maislin, G., Mullington, J.M., and Dinges, D.F. (2003a). The cumulative cost of additional wakefulness: Dose-response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation. Sleep, 26(2), 117-126.

Van Dongen, H.P.A., Rogers, N.L., and Dinges, D.F. (2003b). Understanding sleep debt: Theoretical and empirical issues. Sleep and Biological Rhythms, 1, 5-13.

Van Dongen, H.P.A., Mott, C.G., Huang, J-K, Mollicone, D.J., McKenzie, F.D., and Dinges, D.F. (2007). Optimization of biomathematical model predictions for cognitive performance impairment in individuals: Accounting for unknown traits and uncertain states in homeostatic and circadian processes. Sleep, 30(9), 1125-1139.

Victor, T., Bärgman, J., Boda, C., Dozza, M., Engstroem, J., Flannagan, C., Lee, J.D., and Markkula, G. (2014). Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk (S2-S08A-RW-1). Washington, DC: Transportation Research Board, National Academy of Sciences.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Victor, T., Dozza, M., Bärgman, J., Boda, C.-N., Engström, J., Flannagan, C., and Markkula, G. (2015). Analysis of Naturalistic Driving Study Data: SAFER Glances, Driver Inattention, and Crash Risk (SHRP Safety Project SO8). Washington, DC: Transportation Research Board, National Academy of Sciences.

Watson, N.F., Badr, M.S., Belenky, G., Bliwise, D.L., Buxton, O.M., Buysse, D., Dinges, D.F., Gangwisch, J., Grandner, M.A., Kushida, C., Malhotra, R.K., Martin, J.L., Patel, S.R., Quan, S.F., and Tasali, E. (2015a). Joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society on the recommended amount of sleep for a healthy adult: Methodology and discussion. Sleep, 38(8), 1161-1183.

Watson, N.F., Badr, M.S., Belenky, G., Bliwise, D.L., Buxton, O.M., Buysse, D., Dinges, D.F., Gangwisch, J., Grandner, M.A., Kushida, C., Malhotra, R.K., Martin, J.L., Patel, S.R., Quan, S.F., and Tasali, E. (2015b). Recommended amount of sleep for a healthy adult: A joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep, 38(6), 843-844.

Weaver, T.E., Laizner, A.M., Evans, L.K., Maislin, G., Chugh, D.K., Lyon, K., Smith, P.L., Schwarta, A.R., Redline, S., Pack, A.I., and Dinges, D.F. (1997). An instrument to measure functional status outcomes for disorders of excessive sleepiness. Sleep, 20(10), 835-843.

West, S.G., Duan, N., Pequegnat, W., Gaist, P., Des Jarlais, D.C., Holtgrave, D., Szapocznik, J., Fishbein, M., Rapkin, B., Clatts, M., and Dolan Mullen, P. (2008). Alternatives to the randomized controlled trial. American Journal of Public Health, 98(8), 1359-1366.

Wierwille, W.W., and Ellsworth, L.A. (1994). Evaluation of driver drowsiness by trained raters. Accident Analysis and Prevention, 26(5), 571-581.

Wierwille, W.W., Wreggit, S.S., Kim, C.L., Ellsworth, L.A., and Fairbanks, R.J. (1994). Research on Vehicle-based Driver Status/Performance Monitoring: Development, Validation, and Refinement of Algorithms for Detection of Driver Drowsiness (DOT HS 808 247). Washington, DC: National Highway Traffic Safety Administration.

Williams, J.R., Amana, A., and Tregear, S.J. (2011). Obstructive Sleep Apnea and Commercial Motor Vehicle Driver Safety: Updated Review. Available: http://ntl.bts.gov/lib/44000/44600/44638/OSA_Update_11302011-p.pdf [March 2016].

Williams, V.H., and McLaughlin, S.B. (2013). A Survey of Motorcyclists: Data for Research Design and Instrumentation (Report 13-UT-019). Blacksburg, VA: Virginia Tech Transportation Institute, National Surface Transportation Safety Center for Excellence.

Williamson, A., and Friswell, R. (2013). The effect of external non-driving factors, payment type and waiting and queuing on fatigue in long distance trucking. Accident Analysis and Prevention, 58(Sept.), 26-34. doi: 10.1016/j.aap.2013.04.017.

Williamson, A., Lombardi, D.A., Folkard, S., Stutts, J., Courtney, T.K., and Connor, J.L. (2011). The link between fatigue and safety. Accident Analysis and Prevention, 43(2), 498-515.

Wittes, J., Lakatos, E., and Probstfield, J. (1989). Surrogate endpoints in clinical trials: Cardiovascular diseases. Statistics in Medicine, 8(4), 415-425.

Wood, J.S., Gooch, J.P., and Donnell, E.T. (2015). Estimating the safety effects of lane widths on urban streets in Nebraska using the propensity scores-potential outcomes framework. Accident Analysis and Prevention, 82, 180-191.

Wu, H., and Yan-Go, F. (1996). Self-reported automobile accidents involving patients with obstructive sleep apnea. Neurology, 46(5), 1254-1257.

Wylie, C., Shultz, T., Miller, J., Mitler, M., and Mackie, R. (1996). Commercial Motor Vehicle Driver Fatigue and Alertness Study: Project Report (FHWA-MC-97-002). Washington, DC: U.S. Department of Transportation, Federal Highway Administration.

Xie, L., Kang, H., Xu, Q., Chen, M.J., Liao, Y., Thiyagarajan, M., O’Donnell, J., Christensen, D.J, Nicholson, C., Iliff, J.J., Takano, T., Deane, R., and Nedergaard, M. (2013). Sleep drives metabolite clearance from the adult brain. Science, 342(6156), 373-377.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×

Yamamoto, H., Akashiba, T., Kosaka, N., Ito, D., and Horie, T. (2000). Long-term effects nasal continuous positive airway pressure on daytime sleepiness, mood and traffic accidents in patients with obstructive sleep apnoea. Respiratory Medicine, 94(1), 87-90.

Yang, G., Lai, C.S., Cichon, J., Ma, L., Li, W., and Gan, W.B. (2014). Sleep promotes branch-specific formation of dendritic spines after learning. Science, 344(6188), 1173-1178.

Young, T., Evans, L., Finn, L., and Palta, M. (1997). Estimation of the clinically diagnosed proportion of sleep apnea syndrome in middle-aged men and women. Sleep, 20(9), 705-706.

Zhang, H., Yan, X., Wu, C., and Qiu, T. (2014). Effect of circadian rhythms and driving duration on fatigue level and driving performance of professional drivers. Transportation Research Record: Journal of the Transportation Research Board, 2402, 19-27.

Zubizarreta, J.R., Cerda, M., and Rosenbaum, P.R. (2013). Designing an observational study to be less sensitive to unmeasured biases: Effect of the 2010 Chilean earthquake on posttraumatic stress. Epidemiology, 24, 79-87.

Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 225
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 226
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 227
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 228
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 229
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 230
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 231
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 232
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 233
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 234
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 235
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 236
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 237
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 238
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 239
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 240
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 241
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 242
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 243
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2016. Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi: 10.17226/21921.
×
Page 244
Next: Appendix: Biographical Sketches of Panel Members and Staff »
Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs Get This Book
×
Buy Paperback | $59.00 Buy Ebook | $47.99
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

There are approximately 4,000 fatalities in crashes involving trucks and buses in the United States each year. Though estimates are wide-ranging, possibly 10 to 20 percent of these crashes might have involved fatigued drivers. The stresses associated with their particular jobs (irregular schedules, etc.) and the lifestyle that many truck and bus drivers lead, puts them at substantial risk for insufficient sleep and for developing short- and long-term health problems.

Commercial Motor Vehicle Driver Fatigue, Long-Term Health and Highway Safety assesses the state of knowledge about the relationship of such factors as hours of driving, hours on duty, and periods of rest to the fatigue experienced by truck and bus drivers while driving and the implications for the safe operation of their vehicles. This report evaluates the relationship of these factors to drivers’ health over the longer term, and identifies improvements in data and research methods that can lead to better understanding in both areas.

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu's online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    Switch between the Original Pages, where you can read the report as it appeared in print, and Text Pages for the web version, where you can highlight and search the text.

    « Back Next »
  6. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  7. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  8. ×

    View our suggested citation for this chapter.

    « Back Next »
  9. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!