The Effect of Pavement Crack Treatments on IRI and Surface Profile - A Case Study in Alberta
Bibliographic record
Abstract
Pavement crack treatments are commonly used to mitigate future deterioration and to extend service life of pavements. Although many studies have shown the effect of crack treatments on extending the service life of pavements, few have investigated the impact of crack treatments on serviceability of pavements which is the main concern of road users. In addition to calculating the International Roughness Index (IRI), profile data collected by high-speed inertial profilers have the potential to be used in other areas of pavement management and for the design, selection, evaluation and performance monitoring of pavement preservation and maintenance treatments. A study was carried out by Alberta Infrastructure and Transportation (INFTRA) and EBA Engineering Consultants Ltd. (EBA) on Hwy 55 in Alberta, Canada that demonstrates how IRI and roadway profile data can be used to evaluate the effectiveness of two commonly used pavement crack treatments, spray-patching and asphalt mix-patching.
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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 | 0.000 | 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".