Driver distraction analysis on naturalistic heavy vehicle data : Task 2: Analysis of sleeper berth data for distraction events - Draft final report

Hanowski, Richard J.; Olson, Rebecca L; Perez, Miguel; Dingus, Thomas A.; Virginia Polytechnic Institute and State University. Transportation Institute

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Driver distraction analysis on naturalistic heavy vehicle data : Task 2: Analysis of sleeper berth data for distraction events - Draft final report

2001-10-04
By Hanowski, Richard J. ; Olson, Rebecca L ; Perez, Miguel ; ...

[PDF-784.00 KB]

English

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Creators:

Hanowski, Richard J. ; Olson, Rebecca L ; Perez, Miguel ; Dingus, Thomas A.

Hanowski, Richard J. ; Olson, Rebecca L ; Perez, Miguel ; Dingus, Thomas A. Less -
Corporate Creators:

Virginia Polytechnic Institute and State University. Transportation Institute
Subject/TRT Terms:

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Distracted Driving Eye Movements Fatigue (Physiological Condition) Heavy Vehicles Human Factors In Crashes Sleep Sleep Deprivation Sleeper Berth
Resource Type:

Tech Report
Geographical Coverage:

United States
Abstract:

Data from 41 long-haul truck drivers were collected and analyzed for the Federal Motor Carriers Safety Administration (FMCSA) sponsored project entitled, “Impact of Sleeper Berth Usage on Driver Fatigue” (Dingus et al., 2001). This data was collected in situ, or naturalistically as drivers worked their normal routes. The purpose of this study was to investigate driver fatigue during long-haul trucking operations. More specifically, analyses on the data were collected to examine a variety of fatigue-related factors including the relationship of driver sleep quantity and quality to: sleeper berth design, environmental factors, team vs. single operations, and length of trip.
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Volpe Center
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urn:sha256:ed5d93d1ad4ffb7cfd0138c0273844a5355da2fe878557081eddd9b478d01262
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https://rosap.ntl.bts.gov/view/dot/12287/dot_12287_DS1.pdf
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Driver distraction analysis on naturalistic heavy vehicle data : Task 2: Analysis of sleeper berth data for distraction events - Draft final report

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