Assessing and Improving the Cognitive and Visual Driving Fitness of CDL Drivers
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Summary
This study addresses the critical need to identify clinical and demographic factors that predict the on-road safety of Commercial Driver’s License (CDL) holders. Given that CDL drivers are a high-risk population with lower life expectancy and higher rates of health issues, the research aimed to refine a fitness-to-drive assessment battery and determine which specific tests correlate best with driving performance. The study sought to compare CDL drivers against non-CDL drivers to assess differences in cognitive, visual, and defensive driving capabilities, with the ultimate goal of improving Department of Transportation (DOT) physical examinations and enhancing commercial driver safety. The researchers recruited 31 CDL drivers and 30 non-CDL drivers from the Kansas and Missouri bi-state area. Participants underwent a comprehensive two-hour assessment battery comprising cognitive tests (Stroke Drivers Screening Assessment, Useful Field of View, Montreal Cognitive Assessment, Snellgrove Maze, and Trail Making Tests), visual screenings (Keystone vision screener), physical exams (range of motion, gait speed), and a 20-minute driving simulator evaluation. Simulator performance was measured using a Cumulative Simulator Score (CSS) and pupillary tracking to calculate the Index of Cognitive Activity. On-road safety proxies included self-reported driving history, annual e-log data, and simulator metrics such as reaction time, lane excursions, and accident frequency. The findings revealed that descriptive and self-reported characteristics correlated more strongly with simulator performance than visuo-cognitive tests. Specifically, the number of traffic tickets in the past five years and years of education explained 38% of the variance in CSS scores for CDL drivers. When comparing cohorts, CDL drivers had higher Body Mass Indexes and performed worse on cognitive tests, notably scoring lower on the Montreal Cognitive Assessment and taking longer on the dot cancellation test. However, CDL drivers demonstrated superior defensive driving skills in the simulator, evidenced by significantly fewer off-road accidents and road edge excursions compared to non-CDL drivers, despite having slower complex reaction times. The study concludes that demographic factors, particularly driving history and education level, are more predictive of CDL driving safety than standard cognitive assessments. The authors recommend adding questions about ticket history and education to annual DOT physicals to better identify at-risk drivers. Furthermore, the results highlight that CDL drivers possess enhanced defensive driving skills despite poorer cognitive performance, suggesting that experience and attention to detail mitigate cognitive deficits. These findings provide tools for commercial companies to improve driver safety and offer insights for public education to support the recruitment and retention of commercial drivers.
Key finding
Years of education and recent traffic ticket history were the strongest predictors of driving safety in CDL drivers, who demonstrated better defensive driving skills than non-CDL drivers despite lower cognitive test scores.
Methodology
mixed_methods
Sample size: 61
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 (6 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 | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- truck driver fatigue
- mci dementia driving
- fitness to drive assessment
- cognitive capacity variation
- cognitive impairment
- useful field of view
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Methodological Resource: tool software, validation psychometrics
- Theoretical Contribution: computational model