Development of an Empirically-Based Index of Aircraft Mix
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Development of an Empirically-Based Index of Aircraft Mix

Filetype[PDF-933.37 KB]


English
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Details:

  • Creators:
    Pfleiderer, Elaine M.
  • Corporate Creators:
    Civil Aerospace Medical Institute
  • Corporate Contributors:
    FAA Civil Aeromedical Institute
  • Subject/TRT Terms:
  • Publication/ Report Number:
    DOT/FAA/AM-03/8
  • Resource Type:
    Tech Report
  • Geographical Coverage:
  • Edition:
    Final Report
  • Corporate Publisher:
    United States. Department of Transportation. Federal Aviation Administration
  • Abstract:
    The present study is part of an ongoing effort to identify objective predictors of subjective air traffic controller workload. The study begins with a comparison of the salient variables governing en route controllers’ perceptions of the performance capabilities of a sample of aircraft and the actual performance of the aircraft in the en route environment. A group of 24 Certified Professional Controllers (CPCs) from Kansas City (N = 17) and Boston (N = 7) en route centers provided estimates of cruising speed, climb, and descent rates for a sample of 24 aircraft types. A matrix of squared Euclidean distances derived from summary measures (i.e., means of estimated speed, climb, and descent rates) was used to construct a classical multidimensional scaling (CMDS) model representing controllers’ perceptions of the performance capabilities of each aircraft type. A second matrix was derived from means of speed, climb, and descent rates for the same 24 aircraft types computed from a sample of live air traffic data collected from the Kansas City and Boston en route centers. This matrix was used to construct a second CMDS model representing actual aircraft performance. Interpretation of the dimensions of the CMDS model of ATC estimates suggested that Dimension 1 was related to engine type, whereas Dimension 2 was primarily associated with aircraft weight class. In the model of SAR data, both engine type and weight class were predominantly associated with Dimension 1. Results are used to develop a measure of aircraft mix (i.e., the mix of aircraft with different performance characteristics) to be added to a suite of controller activity and taskload measures.
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