The relationship between driver fatigue and rules limiting hours of driving and work
Bibliographic record
Abstract
Research has highlighted the contribution of fatigue to driving accidents, but it is much less clear about the relationship of fatigue to driving hours. The aims of this project were to review existing UK and international research and other published material in order to determine any links that exist between long driving or working hours and driver fatigue, and theextent to which limits on hours of driving or work help to prevent fatigue related accidents for drivers. To accomplish these a review of drivers'hours rules in the UK has been conducted within the context of relevant scientific literature (Chapter 2), an analysis of relevant GB accident databases (Chapter 3), a detailed review of domestic legislation around Europe(Chapter 4), and an examination of practice in the USA, Canada and Australia (Chapter 5).¹This report is designed to provide information to inform the ongoing review of the domestic drivers' hours legislation in the UK and initial conclusions drawn from this review and future recommendations are presented in Chapter 6. Any changes to current drivers' hours rules, both EU and UK domestic would need very careful consideration. The question of potential relaxation in exceptional circumstances, must first consider the evidence for a direct link between driving duration and accident rate. Neither the research literature nor the GB accident databases considered in this review, have revealed a strong link between hours driven and accidents. (A)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".