Airspace Complexity Measurement: An Air Traffic Control Simulation Analysis

Authors

  • Parimal H Kopardekar NASA Ames Research Center
  • Albert Schwartz Federal Aviation Administration
  • Sherri Magyarits Federal Aviation Administration
  • Jessica Rhodes Federal Aviation Administration

DOI:

https://doi.org/10.23055/ijietap.2009.16.1.18

Abstract

This paper describes results of a dynamic density (DD) human-in-the-loop simulation and DD model development activity that was designed to examine the complexity measures. DD measures that were presented at the US/Europe ATM 2003 Seminar were used in the analysis. This study differed from the previous one in three aspects: first, the simulation included Reduced Vertical Separation Minima procedures, second, the study focused on the Cleveland Air Route Traffic Control Center’s airspace where previous study results showed the weakest correlation, and third, the traffic was actively controlled during the simulation, whereas in the previous study, audio/video replays were shown. The results indicated that the DD metric performed better than aircraft count, which is the basis of the presently used complexity gauge, and that the new DD model performed better than the previous model for Cleveland Center.

Author Biography

Parimal H Kopardekar, NASA Ames Research Center

Parimal Kopardekar works as an Associate Principal Investigator of the Dynamic Airspace Configuration technical area at NASA Ames Research Center. Prior to his current assignment, he served as a Project Manager of the Strategic Airspace Usage project and sub-project manager under Advanced Air Transportation Technologies project. Prior to working at NASA, he worked for the FAA where he conducted research and development activities in the area of air traffic management. He has published numerous journal and conference papers in the area of air traffic management. As an adjunct faculty at Rutgers and Drexel Universities, he taught graduate-level courses. He holds Ph.D. and M.S. degrees in Industrial Engineering and a Bachelor of Engineering in Production Engineering.

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Published

2009-03-31

How to Cite

Kopardekar, P. H., Schwartz, A., Magyarits, S., & Rhodes, J. (2009). Airspace Complexity Measurement: An Air Traffic Control Simulation Analysis. International Journal of Industrial Engineering: Theory, Applications and Practice, 16(1), 61–70. https://doi.org/10.23055/ijietap.2009.16.1.18

Issue

Vol. 16 No. 1 (2009)

Section

Modelling and Simulation

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