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原文传递 Drowsy Driver Warning System Field Operations Test: Data Collection Methods. Final rept.

题名：	Drowsy Driver Warning System Field Operations Test: Data Collection Methods. Final rept.
作者：	Hanowski-R.J.; Blanco-M.; Nakata-A.; Hickman-J.S.; Schaudt-W.A.
关键词：	Motor-vehicle-drivers; Drowsiness-; *Warning-systems.;Driver-behavior; Driver-fatigue; Monitoring-; Human-factors; Sleep-; Stress-physiology; Trucks-; Warning-systems; Surveys-; Data-collection.
摘要：	A 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.
报告类型：	科技报告