| Title | Driver Distraction Analysis on Naturalistic Heavy Vehicle Data: Task 2: Analysis of Sleeper Berth Data for Distraction Events – Draft Final Report |
|---|---|
| Record ID | 59172 |
| Personal Name Creator |
Hanowski, Richard J.; Olson, Rebecca L; Perez, Miguel; Dingus, Thomas A. |
| Source | 122p. |
| Corporate Creator | Virginia Polytechnic Institute and State University. Transportation Institute |
| Publisher | Virginia Tech Transportation Institute |
| Publication Date | 20011004 |
| Language | English |
| 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. |
| Rosap ID | dot:12287 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/12287 |
| TRT Terms | Heavy vehicles; Distracted driving; Physiological fatigue; Sleep; Eye movements; Sleep deprivation; Human factors in crashes |
| General Subjects | Sleeper berth |
| Classification | AGR - SAFETY AND SECURITY - SAFETY AND SECURITY; NTL - SAFETY AND SECURITY - Highway Safety; NTL - SAFETY AND SECURITY - Human Factors; NTL - SAFETY AND SECURITY - SAFETY AND SECURITY |
| Geographical Coverage |
United States |
| Availability | Volpe National Transportation Systems Center, Technical Reference Center |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/59000/59100/59172/DriverDistractionAnalysisNaturalisticHVData__002_.pdf |
| Format | |
| Database | NTL Digital Repository |