Comparison of sound power levels of vehicles traveling on expressways determined by the Square integration method and the Pass-by method
Bibliographic record
Abstract
This paper reports on unit patterns (time-histories) of traveling automobile noise measured on expressways. In general, symmetrical patterns were the most common, but many patterns with high noise levels were also recorded for approaching vehicles and after the vehicles had passed. The A-weighted sound power level LW A,Fmax determined by the Pass-by method were compared with the LW A,RMS obtained by the Square integration method. The noise unit patterns were classified by pavement and vehicle type. In all groups, LW A, Fmax corresponded well with LW A,RMS, and the average level difference between them were 0.1 and 0.4 dB. It was found that the difference in the levels of LW A, Fmax and LW A,RMS was related to driving speed, which was thought to be influenced by the time weighting circuit (characteristic F) of the sound level meter. However, the effect is considered to be less than 0.5 dB if the vehicle had been traveling at a speed of about 100 km/h.
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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 | 0.000 |
| 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".