DocumentCode
2589850
Title
A complexity metric for automated separation
Author
Aweiss, Arwa
Author_Institution
NASA Ames Res. Center, Moffett Field, CA, USA
fYear
2009
fDate
23-29 Oct. 2009
Abstract
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.
Keywords
air traffic control; air traffic; airspace complexity; automated separation; Aerospace control; Air traffic control; Aircraft; Automatic control; Automation; Detection algorithms; Dynamic programming; Humans; NASA; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Avionics Systems Conference, 2009. DASC '09. IEEE/AIAA 28th
Conference_Location
Orlando, FL
Print_ISBN
978-1-4244-4078-8
Type
conf
DOI
10.1109/DASC.2009.5347508
Filename
5347508
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