Traffic Complexity Measurement Under Higher Levels of Automation and Higher Traffic Densities

This paper reports on a study which examined the impact of conflict detection and resolution activity on air traffic controller workload. The objective of the study was to identify complexity factors associated with higher levels of automation for conflict detection and resolution. The paper examines traffic complexity variables under these higher levels of automation in which the human controller is still in the loop but is receiving support from advanced conflict detection and resolution automation. Two conflict resolution automation modes and three traffic densities were involved in the study. Results are reported regarding impacts on controller workload and variables showing relevant measures of complexity.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10643818
• Authors:
  • Kopardekar, Parimal
  • Prevot, Tom
  • Jastrzebski, Michael
• Publication Date: 2009

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 125-148
• Serial:
  • Air Traffic Control Quarterly
  • Volume: 17
  • Issue Number: 2
  • Publisher: Air Traffic Control Association Institute, Incorporated
  • ISSN: 1064-3818

Subject/Index Terms

• TRT Terms: Air traffic control; Air traffic controllers; Aircraft separation; Workload
• Subject Areas: Aviation; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01141319
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: BTRIS, TRIS
• Created Date: Sep 30 2009 9:59AM