Moving Away From Diesel and Towards All-Electric Locomotives in North America: Planning and Logistics of Ultra-Capacitor/Battery Technology
Bibliographic record
Abstract
This paper analyzes alternatives to carbon-based fuels, including ‘clean’ electric locomotive technology. Electrification of the North American railway network leaves many questions to be researched, such as: sufficient power capacity, ‘clean’ sources, distribution costs, infrastructure costs, logistics issues, legislative barriers, and resulting changes to business practises. A comprehensive review of incentives, logistics, and barriers was done to shed some light on emerging research needs to fill knowledge gaps in time to sustain industry competitiveness, and to meet the demands of a more sustainable future for North American freight, commuter, and tourism rail. Given prohibitively high costs and logistics of rail electrification, North American researchers have started focusing on ultra-capacitors and batteries. Previous research suggests that a hybrid capacitor/battery equipped locomotive would work, all within the existing envelope of locomotive chassis, and with much lower infrastructure costs. The transition in NA would be faster, at a much lower cost, including high speed passenger rail. However, no one has yet done the necessary research to verify this hypothesis.
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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".