Assessment of the role of pavement preservation in extending service life using the LTPP database
Bibliographic record
Abstract
This paper evaluates the effectiveness of four pavement preservation techniques: crack sealing, thin hot mix asphalt (HMA) overlay, chip seal, and slurry seal, using the long-term pavement performance data obtained from the specific pavement study-3 experiment. The impact of the pavement preservation techniques to mitigate longitudinal cracks in the wheel path, and rutting was analyzed. Environmental and cost considerations were employed to understand the role of preservation in extending the service life of highway infrastructure, reducing environmental impacts, and saving cost. Considering the cost and performance of treatments, thin HMA overlay, and chip sealing were the most cost-effective treatments. However, the equivalent CO 2 (eCO 2 ) of HMA overlay was higher than other types of treatments. In many cases, chip seal performed best from performance and environmental standing point as it has the lowest eCO 2 and displayed effectiveness in extending pavement service life.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".