Truck Driver Fatigue Management Survey Appendix
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Summary
This document is not a completed research paper but rather the instrument for the "Truck Driver Fatigue Management Survey," a questionnaire developed by the United States Federal Motor Carrier Safety Administration (FMCSA) in 2006. It is explicitly marked as an expired survey instrument (OMB No. 2126-0029, expired 03/31/2007) provided solely as a reference document. Consequently, it does not contain research findings, statistical results, or conclusions. Instead, it details the specific data points the FMCSA sought to collect from commercial truck drivers to understand the prevalence and management of fatigue in the industry. The survey was designed to gather comprehensive demographic and operational data, including driver age, sex, ethnicity, years of experience, vehicle type (semi, double, triple), and driving operation style (single vs. team). It extensively probes into lifestyle and health factors, asking about smoking, alcohol consumption, caffeine intake, marital status, and the use of various medications such as sleeping pills, tranquilizers, and blood pressure medicine. A significant portion of the instrument focuses on sleep habits and work schedules. Drivers were asked to map their work and rest periods over a typical two-day week, report hours of sleep during work and off-duty periods, and describe their sleep environments, such as sleeper berths or truck stops. The survey also included the Epworth Sleepiness Scale (ESS) to measure the likelihood of dozing off in various situations, and the Pittsburgh Sleep Quality Index (MAP) to assess sleep behaviors and disturbances like snoring, leg jerking, and difficulty falling asleep. Furthermore, the questionnaire investigated fatigue-specific behaviors and perceptions. It asked drivers to rate the severity of fatigue as a personal problem, identify specific times of day when they felt most fatigued, and report the frequency of near-misses or falling asleep while driving. The instrument listed numerous potential fatigue contributors, such as driving hours, night driving, temperature, and road conditions, asking drivers to rank their relevance. It also cataloged fatigue management strategies, ranging from stopping to nap or eat, to using caffeine, smoking, or adjusting truck ventilation. Finally, the survey assessed drivers' self-efficacy in managing fatigue and their willingness to participate in a future study involving wrist-worn devices to record work-rest patterns. This document serves as a primary source for understanding the methodological approach used by the FMCSA to assess driver fatigue risks in the early 2000s.
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The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (80 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 97 | 2026-08-22 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | skipped | — | — | — | 3 | 2026-07-02 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.8-27b-gittensor | summ-v5 | 174 | 2026-08-22 |
| tag | success | vector_similarity | — | — | 20 | 2026-08-11 |
| verify | success | — | — | — | 3 | 2026-08-08 |
Summary generated by qwen3.8-27b-gittensor on 2026-08-22; verification: pending re-verification.
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- Empirical Findings: physiological data