Interfacility boundary adjustment.
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2000-07-01
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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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Main Document Checksum:urn:sha256:6c0d3eeeea5e3cf9484807b9094fa1db38bc44bcc5792049410c21760a0eaf82