Distraction and Drowsiness in Motorcoach Drivers: Research Brief
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Summary
This research brief addresses the critical safety issues of driver distraction and drowsiness in motorcoach operations, a sector characterized by high fatality rates per vehicle mile traveled compared to large trucks. Despite the severity of potential crashes involving multiple injuries or deaths, limited research had previously examined motorcoach-specific driving behaviors. The study aimed to investigate how secondary tasks and drowsiness impact safety-critical events (SCEs) and to identify specific risk factors associated with motorcoach driving. The study utilized naturalistic driving data collected between 2013 and 2015 from the Onboard Monitoring System (OBMS) Field Operational Test. Two motorcoach fleets participated, providing approximately 600,000 miles of data from 43 vehicles and 65 drivers, who averaged 49 years of age and 16 years of experience. Data acquisition systems equipped with five video cameras and kinematic sensors captured continuous driving footage. Researchers identified 1,086 valid SCEs—including crashes, near-crashes, and unintentional lane deviations—and 4,600 baseline driving epochs. These events were manually coded and analyzed using odds ratios to assess the risk associated with secondary tasks (e.g., cell phone use, eating, external distraction) and driving-related tasks (e.g., checking instruments). Key findings revealed that 59% of all SCEs and 89% of at-fault crashes involved engagement in secondary or driving-related tasks. Specific high-risk secondary tasks included reaching for objects, looking outside the vehicle, and using the intercom. Environmental analysis showed that most SCEs occurred in daylight without adverse weather, particularly in non-junction areas, though intersections and entrance/exit ramps presented significantly higher odds ratios. Eye glance analysis demonstrated that risk increased exponentially when drivers kept their eyes off the forward roadway for more than two seconds, with intercom use resulting in some of the longest mean eyes-off-road times. Regarding drowsiness, only 1% of data involved high drowsiness levels. Interestingly, drivers engaged in secondary tasks exhibited lower drowsiness ratings than those not engaged in such tasks, suggesting drivers may use secondary activities as a strategy to counteract fatigue. The study concludes that while some distraction risks are consistent with light vehicle and truck driving, motorcoach-specific factors like intercom use warrant further investigation. The findings validate the two-second threshold for eyes-off-road time as a critical risk indicator. The authors recommend treating this study as a pilot, advocating for larger-scale research to provide FMCSA and industry stakeholders with deeper insights into motorcoach safety issues.
Key finding
Eyes off the forward roadway beyond 2 seconds raised motorcoach safety-critical event risk sharply and exponentially, and secondary or driving-related tasks were present in 89 percent of at-fault crashes.
Methodology
naturalistic
Sample size: 65
Provenance
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 (7 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 | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 3 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Empirical Findings: behavioral performance data, observational prevalence, physiological data