The Drowsy Driver Warning System Field Operational Test: Data Collection Methods: Final Report

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dc.contributorVirginia Tech Transportation Instituteen
dc.contributor.authorHanowski, Richard J.en
dc.contributor.authorBlanco, Myraen
dc.contributor.authorNakata, Akikoen
dc.contributor.authorHickman, Jeffrey S.en
dc.contributor.authorSchaudt, William A.en
dc.contributor.authorFumero, Maria C.en
dc.contributor.authorOlson, Rebecca Lynnen
dc.contributor.authorJermeland, Julieen
dc.contributor.authorGreening, Michaelen
dc.contributor.authorHolbrook, G. Thomasen
dc.contributor.authorKnipling, Ronald R.en
dc.contributor.authorMadison, Phillipen
dc.date.accessed2015-06-29en
dc.date.accessioned2015-07-31T20:05:11Zen
dc.date.available2015-07-31T20:05:11Zen
dc.date.issued2008-09en
dc.description.abstractA Drowsy Driver Warning System (DDWS) detects physiological and/or performance indications of driver drowsiness and provides feedback to drivers regarding their state. The primary function of a DDWS is to provide information that will alert drivers to their drowsy state and motivate them to seek rest or take other corrective steps to increase alertness. The system tested in this study was the Driver Fatigue Monitor (DFM) developed by Attention Technologies, Inc., which estimates PERCLOS (percent eye closure). The primary goal of this field operational test (FOT) was to determine the safety benefits and operational capabilities, limitations, and characteristics of the DFM. The FOT was conducted in a naturalistic driving environment and data were collected from actual truck drivers driving commercial trucks. During the course of the study, 46 trucks were instrumented with a Data Acquisition System (DAS). Over 100 data variables such as the PERCLOS output from the DFM and driving performance data (e.g., lane position, speed, and longitudinal acceleration) were collected. Other collected measures included video, actigraphy, and questionnaires. The FOT had 103 drivers participate. Drivers were randomly assigned to either control (24 drivers) or experimental groups (79 drivers). The data collected include the following: approximately 46,000 driving-data hours; 397 load history files from 103 drivers; approximately 195,000 hours of activity/sleep data; questionnaires from all drivers; fleet management surveys from each company; and focus group results collected from 14 drivers during two post-study focus group sessions. The focus of this report is the description of the data collection procedures.en
dc.description.sponsorshipUnited States. National Highway Traffic Safety Administrationen
dc.format.extent295 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationHanowski, R. J., Blanco, M., Nakata, A., Hickman, J. S., Schaudt, W. A., Fumero, M. C., Olson, R. L., Jermeland, J., Greening, M., Holbrook, G. T., Knipling, R. R., & Madison, P. (2008). The drowsy driver warning system field operational test: Data collection methods: Final report. (DOT HS 811 781). Washington, DC: United States. National Highway Traffic Safety Administration. Retrieved from http://www.nhtsa.gov/DOT/NHTSA/NRD/Multimedia/PDFs/Crash%20Avoidance/2008/810035.pdf.en
dc.identifier.govdocDOT-HS-810035en
dc.identifier.urihttp://hdl.handle.net/10919/55072en
dc.identifier.urlhttp://www.nhtsa.gov/DOT/NHTSA/NRD/Multimedia/PDFs/Crash%20Avoidance/2008/810035.pdfen
dc.language.isoenen
dc.publisherUnited States. National Highway Traffic Safety Administrationen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectActigraphen
dc.subjectCommercial motor vehiclesen
dc.subjectDriver behavioren
dc.subjectDriver fatigue monitoren
dc.subjectDrowsy drivingen
dc.subjectHuman factorsen
dc.subjectNaturalisticen
dc.subjectSleepen
dc.subjectTrucksen
dc.subjectWarning systemen
dc.titleThe Drowsy Driver Warning System Field Operational Test: Data Collection Methods: Final Reporten
dc.typeGovernment documenten
dc.type.dcmitypeTexten

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