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Performance of an Automated System for Control of Traffic in Terminal AirspaceThis paper examines the performance of a system that performs automated conflict resolution and arrival scheduling for aircraft in the terminal airspace around major airports. Such a system has the potential to perform separation assurance and arrival sequencing tasks that are currently handled manually by human controllers. The performance of the system is tested against several simulated traffic scenarios that are characterized by the rate at which air traffic is metered into the terminal airspace. For each traffic scenario, the levels of performance that are examined include: number of conflicts predicted to occur, types of resolution maneuver used to resolve predicted conflicts, and the amount of delay for all flights. The simulation results indicate that the percentage of arrivals that required a maneuver that changes the flight's horizontal route ranged between 11% and 15% in all traffic scenarios. That finding has certain implications if this automated system were to be implemented simply as a decision support tool. It is also found that arrival delay due to purely wake vortex separation requirements on final approach constituted only between 29% and 35% of total arrival delay, while the remaining major portion of it is mainly due to delay back propagation effects.
Document ID
20160007557
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Nikoleris, Tasos
(California Univ. Santa Cruz, CA, United States)
Erzberger, Heinz
(California Univ. Santa Cruz, CA, United States)
Paielli, Russell A.
(NASA Ames Research Center Moffett Field, CA United States)
Chu, Yung-Cheng
(California Univ. Santa Cruz, CA, United States)
Date Acquired
June 15, 2016
Publication Date
June 13, 2016
Subject Category
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN30779
Meeting Information
Meeting: AIAA Aviation 2016
Location: Washington, DC
Country: United States
Start Date: June 13, 2016
End Date: June 17, 2016
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
WBS: WBS 154692.02.50.01.06
CONTRACT_GRANT: NAS2-03144
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
air traffic control
aircraft scheduling
autonomy
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