Impact of ADS-B on Controller Workload: Results from Alaska's Capstone Program
Bibliographic record
Abstract
The Capstone program introduced avionics in Alaska that included ADS-B equipment, starting in the year 2000. The program succeeded in equipping 208 aircraft in the Yukon-Kuskokwim Delta by the end of 2004, resulting in Capstone-equipped aircraft accounting for nearly 100% of part-135 operations by airplanes based in that region. This paper estimates the impact of the use of Capstone equipment on controller workload. It summarizes the results of a controller survey regarding the effect of Capstone equipment on controller tasks, and provides quantitative results regarding the effect of ADS-B equipment on controller workload. From the survey 57% of controllers indicated that they needed less time providing IFR separation services than without ADS-B, and 79% of the controllers felt that the overall efficiency of their operation had increased with ADS-B. An analysis of flight progress strips showed that the currently deployed Capstone equipment, when operating properly as required by ATC, would provide an 18% reduction in controller communications workload. The analysis also indicated that if all the aircraft in the Y-K Delta were properly equipped, the reduction in communications workload would be 26%
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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".