Design and Construction of a Noise Barrier Along the Vanier Highway in Fredericton
Bibliographic record
Abstract
In 2003, exp was retained by the New Brunswick Department of Transportation (NBDOT) to complete a noise study along a 1.3 km section of the Vanier Highway located within the City of Fredericton. This four-lane access controlled section of highway with a posted speed limit between 90 and 100 km/h is adjacent to a residential area and accommodates 26,100 vehicles daily. With increasing complaints from residents adjacent to the highway, the Department wanted noise levels identified, along with possible mitigative measures to reduce the noise levels. Utilizing 13 noise sensitive areas (NSAs) that had been identified in a previous study, along with ambient noise levels at these NSAs, a noise model was developed that predicted the ambient noise levels. This model reflected the US Federal Highway Level 2 Noise Prediction Method which has been accepted by the NBDOT in their Highway Noise Policy. Based on the predicted ambient noise levels, the noise model was then utilized to identify the effectiveness of different noise barrier heights. A height was selected and the noise barrier constructed. Prior to construction in 2010, existing ambient noise readings at the 13 NSAs were taken. Readings were then taken following construction in 2011 to measure the effectiveness of the noise barrier in reducing noise levels. This paper describes the process that was used to define existing noise levels, the height of noise barrier to be constructed, the effectiveness of the noise barrier once construction was completed, and the associated cost. (A) For the covering abstract of this conference see ITRD record number 201211RT334E.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".