Characterization of Road noise levels increase due to installation of transverse rumble strips
Bibliographic record
Abstract
Transverse rumble strips have been widely employed as a means to warn distracted. Noise emissions from traveling over the rumble strips negatively impact surrounding communities. Moreover, the distinguished noise characteristic of rumble strips makes this noise a nuisance to the surrounding community. Measurements of the noise emission generated from vehicles passing over transverse rumble strips have been completed adjacent to the 18-rumble strips. To determine the impact of the rumble strips on noise generation, sound level measurements were taken of vehicles traveling over smooth pavement prior to travelling over the rumble strips shortly after. The measurements were completed for uncontrolled normal road traffic and for controlled vehicle pass-by, where the vehicle speed was steady and controlled. The overall noise emission from the transverse rumble strips results with a 3-9 dB increase above the corresponding vehicle noise emission Leq on smooth pavement. The corresponding sound exposure level is calculated. The increase in the noise emission is largely dependent on the vehicle type and not correlated to vehicle speed. The rumble strip noise is characterized as quasi-steady impulsive sound for receptors, which may require an additional noise penalty. The results show that the rumble strips noise does not have any distinct tone.
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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".