A case study on acoustic performance and construction costs of noise barriers
Why this work is in the frame
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Bibliographic record
Abstract
In the study, the barriers used for reducing traffic noise are being examined in means of performance and construction cost. First a noise prediction is made in the sample highway under certain traffic conditions in order to determine the noise barrier requirement and the results are confirmed by measurement. According to the noise prediction equations used in Turkey, Germany and Canada, the effects of heavy vehicle ratio, average traffic flow speed and hourly total vehicle quantity change on noise level and barrier requirement are examined, so assessment can be made for highways having different traffic specifications than the sample highway. In the continuation of the study, the working principle of noise barriers and effects of barrier position and height on reducing noise are researched in order to determine the construction costs of barriers in Turkey and Canada at different heights and made from different materials. Key words: Highway, noise barrier, noise prediction, performance, construction cost.
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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 | 0.003 | 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 it