United States Department of Transportation
i
Interfacility boundary adjustment.
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2000-07-01
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[PDF-253.80 KB]
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Abstract:The objective of the study was to examine the impact of inter-facility dynamic resectorization on Air Traffic Control Specialists’
(ATCSs’) performance, workload, communication, situational awareness, and control strategies. As a preliminary investigation, the
scope of the study was limited to lateral boundary adjustments (in contrast to vertical adjustments) and specific traffic situations that
should benefit the most from dynamic resectorization. The researchers selected a heavy traffic situation and shifting weather patterns
as scenarios for this investigation. The approach was to pre-define regions of airspace that could be allocated to one Air Route Traffic
Control Center (ARTCC) or the other depending upon the traffic situation. This approach represented a simple method of dynamic
resectorization that could be implemented using current air traffic control (ATC) equipment. Twelve full performance level controllers
participated in the study over a 6-week period. We evaluated their performance using objective and subjective measures. We assessed
controller workload using the National Aeronautics and Space Administration Task Load Index and the Air Traffic Workload Input
Technique. We measured ATCSs’ situation awareness using self-ratings on a numeric scale. In addition, controllers completed
questionnaires after each scenario and at the end of the study. The results indicated that dynamic resectorization did not interfere with
ATCS performance. Overall, there were very few separation losses in the study. However, the results indicated slightly fewer
separation losses for dynamic resectorization in the heavy traffic scenarios, although this trend was not statistically reliable. Finally,
the results indicated slightly lower NASA-TLX workload ratings in dynamic resectorization scenarios. However, dynamic
resectorization did not reduce controller situation awareness. In fact, controller ratings of situation awareness were higher when
operating dynamic resectorization scenarios in both high density traffic and shifting weather situations.
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