| タイトル | A Complexity Metric for Automated Separation |
| 本文（外部サイト） | http://hdl.handle.net/2060/20100036642 |
| 著者（英） | Aweiss, Arwa |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 2009-10-28 |
| 言語 | eng |
| 内容記述 | A metric is proposed to characterize airspace complexity with respect to an automated separation assurance function. The Maneuver Option metric is a function of the number of conflict-free trajectory change options the automated separation assurance function is able to identify for each aircraft in the airspace at a given time. By aggregating the metric for all aircraft in a region of airspace, a measure of the instantaneous complexity of the airspace is produced. A six-hour simulation of Fort Worth Center air traffic was conducted to assess the metric. Results showed aircraft were twice as likely to be constrained in the vertical dimension than the horizontal one. By application of this metric, situations found to be most complex were those where level overflights and descending arrivals passed through or merged into an arrival stream. The metric identified high complexity regions that correlate well with current air traffic control operations. The Maneuver Option metric did not correlate with traffic count alone, a result consistent with complexity metrics for human-controlled airspace. |
| NASA分類 | Aircraft Design, Testing and Performance |
| レポートNO | ARC-E-DAA-TN1001 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/250081 |
