Browsing by Author "Holbrook, G. Thomas"

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    The Drowsy Driver Warning System Field Operational Test: Data Collection Methods: Final Report
    Hanowski, Richard J.; Blanco, Myra; Nakata, Akiko; Hickman, Jeffrey S.; Schaudt, William A.; Fumero, Maria C.; Olson, Rebecca Lynn; Jermeland, Julie; Greening, Michael; Holbrook, G. Thomas; Knipling, Ronald R.; Madison, Phillip (United States. National Highway Traffic Safety Administration, 2008-09)
    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. 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.
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    Field Evaluation of Alternative Automated Systems for Reducing Illegal Passing of School Buses, DTNH22-00-07007, Task Order 1
    Hanowski, Richard J.; Spaulding, Jeremy M.; Gaskins, Charla; Schaudt, William A.; Miller, Steven; Holbrook, G. Thomas; Olson, Rebecca Lynn; Dingus, Thomas A.; Hickman, Jeffrey S.; Huey, Richard; Llaneras, Eddy E. (Virginia Tech Transportation Institute, 2007-03-27)
    The overall objective of this research was to develop a prototype system that would automatically detect and record vehicles that illegally pass stopped school buses. There were four primary steps in meeting this objective: (1) determine the feasibility of developing and implementing a prototype system using advanced technology that would automatically document the identity of drivers and their vehicles that illegally pass stopped school buses; (2) if feasible, build a prototype unit; (3) design and conduct a proof-of-concept field test to determine system adequacy, including its accuracy and reliability; and (4) develop a set of recommendations for further development, research, and demonstration of the approach in an operational field setting. The objective of the second part of the research was to refine the initial system that had been developed in the first part.