Evaluation of alternative highway noise abatement strategies for one community
Bibliographic record
Abstract
For the Massachusetts Department of Transportation (MassDOT), HMMH undertook an investigation of the potential benefits of several noise abatement options for a community of single-family homes located along I-90. This investigation was prompted by noise complaints and was not associated with a roadway improvement (Type I) project or barrier retrofit (Type II) project. MassDOT scoped HMMH to evaluate many options that could potentially reduce existing traffic noise levels to below the applicable FHWA Noise Abatement Criteria (NAC) of 66 dBA, Leq in the loudest hour of the day. The strategies included a vegetative buffer, safety barrier, privacy fence, earth berm, and noise barrier along the highway and along the residential property line. The paper details the analysis approaches taken and results of each strategy. The variable terrain throughout the study area presented challenges to achieving the goal with any of the individual strategies, but a combination of the two noise barrier placements was predicted to be successful.
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 | 0.007 | 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 | 0.001 | 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".