Evaluation of Perpetual Pavement Design Philosophy for Three Traffic Volume Scenarios
Bibliographic record
Abstract
This paper evaluates the structural benefits of using perpetual asphalt pavement designs in comparison to the conventional pavement designs for three traffic levels. In addition, Life Cycle Cost Analysis (LCCA) was implemented to evaluate these various designs. Three scenarios were evaluated comparing the perpetual and conventional designs as applied on high, moderate and low traffic volume roads. The high traffic volume model represents a test section constructed on Highway 401 in Ontario, Canada. The moderate and low traffic volume scenarios were created based on traffic counts by the Ministry of Transportation of Ontario (MTO). Pavement designs for the moderate and low traffic volume scenarios are based on the American Association of State Highway and Transportation Officials (AASHTO) DARWin 3.1 methodology. The structural evaluation of the different pavement designs considered a 50-year analysis period using the Mechanistic Empirical Pavement Design Guide (MEPDG) model. The structural evaluation concluded that perpetual pavements have higher resistance to bottom up fatigue cracking, rutting and less deterioration rate of IRI compared to conventional pavements in the three scenarios. Finally, a 70-year LCCA was implemented on all three scenarios. The maintenance and rehabilitation programs used in LCCA were designed based on the MEPDG results and the typical MTO practices. The LCCA showed that perpetual pavement designs are the cost-effective alternative in high and moderate traffic volume scenarios.
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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 | 0.021 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".