Quiet and durable pavements: Findings from an Ontario study
Bibliographic record
Abstract
Traffic noise is a growing problem throughout the world. Noise barriers, traditionally used for reducing noise exposure, are expensive and inefficient in some cases. Pavement surface characteristics play a key role in noise generation and propagation. Information about noise-reducing characteristics of various Portland cement concrete (PCC) and asphalt concrete (AC) pavements can therefore help public agencies in selecting an appropriate surface that maximizes the structural durability, reduces the noise, and ensures adequate skid resistance for safety. In this study, tire–pavement close proximity (CPX), in-vehicle, and controlled pass-by (CPB) noise were measured at 80–100 km/h for 32 PCC and AC pavements in southern Ontario. The results have indicated that certain textures are needed to allow for air escape from the tire–road interface, which limits the generation and (or) propagation of tire–pavement noise. Both fine-graded Superpave and stone mastic asphalt (SMA) were shown to be promising for noise reduction and have good durability characteristics. However, careful placement and finishing are essential to produce a uniform lower order macrotexture and to attain the noise-reduction benefit.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".