Performance and Emissions Evaluation of Compressed Natural Gas and Clean Diesel Buses at New York City's Metropolitan Transit Authority
Bibliographic record
Abstract
The New York City Metropolitan Transit Authority (MTA) has initiated a program to utilize various diesel emission control, alternative fuel, and hybrid electric drive technologies as part of its ongoing effort to provide environmentally friendly bus service. The New York State Department of Environmental Conservation (DEC) has joined with the MTA and Environment Canada in evaluating this program, and has established a protocol for measuring both regulated and unregulated emissions, as well as other operational parameters. This paper compares and contrasts the emissions of buses powered by Detroit Diesel Series 50 diesel engines and Series 50G Compressed Natural Gas (CNG) engines. All buses have been tested for regulated emissions at the Emissions Research and Measurement Division of Environment Canada, in Ottawa, Ontario. Unregulated emissions measurements, including particle size distributions and chemical analysis, have been supported by DEC staff. The various measured quantities are presented in order to facilitate useful comparisons among the different transit bus technologies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".