Drowsy Driver Warning System Field Operations Test: Data Collection Methods

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, Incorporated 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.

• Corporate Authors:

  Virginia Polytechnic Institute and State University, Blacksburg

  Virginia Tech Transportation Institute
  3500 Transportation Research Plaza
  Blacksburg, VA  United States  24061

  National Highway Traffic Safety Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Hanowski, Richard J
  • Blanco, Myra
  • Nakata, Akiko
  • Hickman, Jeffrey S
  • Schaudt, W A
• Publication Date: 2008-9

Language

• English

Media Info

• Media Type: Print
• Pagination: 293p

Subject/Index Terms

• TRT Terms: Data collection; Drivers; Drowsiness; Fatigue (Physiological condition); Human factors in crashes; Motor vehicle operations; Stress (Psychology); Traffic safety; Truck drivers; Warning systems
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01135504
• Record Type: Publication
• Files: TRIS, USDOT
• Created Date: Jul 21 2009 8:12AM