Complex Terminal Airspace Analysis Methodology for Evaluating FMS or RNAV Procedures
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
The paper summarizes an approach for airspace analysis methods to examine the operational suitability of proposed changes in complex, high-density airspace such as the New York Terminal Maneuvering Area. The potential of a Flight Management System (FMS) or Area Navigation (RNAV) arrival procedure to alleviate airspace constraints and increase capacity for complex traffic flow interactions is examined. A case study is developed for arrival/departure flows for Teterboro and Newark airports in the New York metroplex, where the proposed procedure eliminates some of the constraining traffic flow interactions. The study considers the operational implications of the revised flows, particularly the impact on controller workload. The analysis examines the impact on the controller’s required intervention rate based on statistical studies of opposing traffic flow encounters. The study indicates that procedures can be designed to minimize additional controller workload caused by tactical interventions. The analysis examines procedure design criteria and design alternatives that could enhance system performance.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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