NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Study of Pairwise Deconfliction Metrics to Analyze Air Traffic Complexity in Upper Class E AirspaceUpper Class E Traffic Management (ETM) is envisioned to cooperatively facilitate operations of a diverse set of aerial vehicles, such as high-altitude long-endurance fixed-wing unmanned aircraft (low-speed and high-speed), high-altitude platforms, airships, stratospheric balloons, supersonic unmanned and commercial aircraft, etc., with a wide variety of mission types, performance characteristics, communication, navigation and surveillance capabilities, maneuverability, and on-board avionics in the National Airspace System (NAS) ’above’ 60,000 feet above mean sea level, without an active and direct control from human air traffic controllers. A diverse mixture of aerial vehicle types creates significant challenges in understanding air traffic complexity, which may not correlate strongly with air traffic density. One key step for determining air traffic complexity in upper class E airspace is to first understand pairwise deconfliction metrics such as reachability, reserve area, and reserve flight time for each pair of unique aerial vehicle types under potential conflict. Therefore, pairwise deconfliction metrics are first defined, and analytical equations are derived for conflict resolution using the heading change maneuver. Next, case studies are performed to analyze deconfliction metrics to avoid secondary conflicts in upper class E airspace. The study shows that pairwise deconfliction metrics are functions of maneuverability, performance characteristics, uncertainty in position and velocity, heading angle change, and conflict angle of aerial vehicles. The next step for this research is to build a mathematical model for air traffic complexity using pairwise deconfliction metrics and validate it in an upper Class E simulation environment.
Document ID
20230006735
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Priyank Pradeep
(Universities Space Research Association Columbia, Maryland, United States)
Min Xue
(Ames Research Center Mountain View, California, United States)
Paul U Lee
(Ames Research Center Mountain View, California, United States)
Banavar Sridhar
(Ames Research Center Moffett Field, CA)
Jinhua Li
(Langley Research Center Hampton, Virginia, United States)
Peter T Huynh
(Langley Research Center Hampton, Virginia, United States)
Date Acquired
May 2, 2023
Publication Date
June 19, 2023
Publication Information
Publication: Aviation Systems Division Website
Publisher: Ames Research Center
URL: https://aviationsystems.arc.nasa.gov
Subject Category
Air Transportation and Safety
Meeting Information
Meeting: AIAA Aviation Forum and Exposition
Location: San Diego, CA
Country: US
Start Date: June 12, 2023
End Date: June 16, 2023
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
PROJECT: 629660
CONTRACT_GRANT: NNA16BD14C
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
Airspace Complexity
ETM
Upper Class E Airspace
Pairwise Deconfliction
Document Inquiry

Available Downloads

There are no available downloads for this record.
No Preview Available