The impact of intersection type on traffic noise levels in residential areas
Bibliographic record
Abstract
Today road traffic noise represents one of the most serious environmental problems in urban areas. It is well known that the specific deceleration and acceleration dynamics of traffic at road intersections can cause different noise levels than free-flow traffic on open road segments. Also, each intersection type has variously distributed sections with different traffic flow conditions: constant speed, stop and go, deceleration and acceleration. The aim of research described in this paper is to establish whether the design of road intersection has influence on traffic noise emissions and to establish which intersection type is most suitable for application in urban areas, where residential buildings are often placed directly next to the noise source - in this case, the intersection. Models used for noise modeling in this research consist of two identical intersecting roads connected as follows, by mini roundabout and by intersection with or without traffic lights. Traffic noise calculations were conducted by means of specialized noise prediction software LimA using modified static noise calculation method RLS 90. Accuracy of roundabout noise model described in this paper had been verified in previous studies by comparison of measured noise levels and calculated noise levels on a number of urban roundabouts.
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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 | 0.000 |
| 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".