Trajectory optimization algorithm for a constant altitude cruise flight with a required time of arrival constraint
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Decreasing the flight costs, therefore flying along the optimal for a trajectory, is a constant preoccupation for all aircraft operators. Moreover, the reduction of fuel consumption and pollutant emissions is a significant factor in the trajectory optimization analysis. The study presented in this article is part of the research conducted at the Laboratoire de recherche en commande active, avionique et aeroservoelasticite (LARCASE), at Ecole de Technologie Superieure, in the field of aircraft trajectory optimization algorithms for Flight Management System platforms, and investigates an optimization algorithm for a leveled cruise flight segment with required time of arrival constraint. The proposed algorithm is deterministic, in accordance with the requirements for avionics equipment.
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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 it