TY - GEN
T1 - A comparison of an intensity control measure versus dynamic density to capture complexity within a sector
AU - Surakitbanharn, Chittayong
AU - Surakitbanharn, Caitlin
AU - Landry, Steven
N1 - Publisher Copyright:
© 2015 American Institute of Aeronautics and Astronautics Inc, AIAA. All right reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2015
Y1 - 2015
N2 - A new control measure called “intensity” is an air traffic management concept to aid air traffic controllers in managing the 2x-3x capacity demands of NextGen. Using intensity as a complexity metric potentially addresses several gaps left open by dynamic density including: (1) a direct mapping of various airspace and air traffic characteristics (complexity) to controller workload (however defined), (2) a real-time resolution to potential air traffic conflicts, and (3) a non-linear mapping of aircraft action to complexity. Accurately capturing complexity is one way to prevent air traffic system inefficiencies through workload overestimation or reduced system safety through workload underestimation. This paper utilizes air traffic data to compare intensity and dynamic density complexity metrics in increased traffic environments. It is first found that intensity is a viable alternative to dynamic density as a complexity metric. Additionally, intensity gives air traffic controllers real-time insight into aircraft pairs that are at highest risk of a short-notice safety violation whereas dynamic density does not.
AB - A new control measure called “intensity” is an air traffic management concept to aid air traffic controllers in managing the 2x-3x capacity demands of NextGen. Using intensity as a complexity metric potentially addresses several gaps left open by dynamic density including: (1) a direct mapping of various airspace and air traffic characteristics (complexity) to controller workload (however defined), (2) a real-time resolution to potential air traffic conflicts, and (3) a non-linear mapping of aircraft action to complexity. Accurately capturing complexity is one way to prevent air traffic system inefficiencies through workload overestimation or reduced system safety through workload underestimation. This paper utilizes air traffic data to compare intensity and dynamic density complexity metrics in increased traffic environments. It is first found that intensity is a viable alternative to dynamic density as a complexity metric. Additionally, intensity gives air traffic controllers real-time insight into aircraft pairs that are at highest risk of a short-notice safety violation whereas dynamic density does not.
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U2 - 10.2514/6.2015-2904
DO - 10.2514/6.2015-2904
M3 - Conference contribution
AN - SCOPUS:85088352678
SN - 9781624103698
T3 - 15th AIAA Aviation Technology, Integration, and Operations Conference
BT - 15th AIAA Aviation Technology, Integration, and Operations Conference
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - 15th AIAA Aviation Technology, Integration, and Operations Conference, 2015
Y2 - 22 June 2015 through 26 June 2015
ER -