Analyzing constraints to support computational modeling of air traffic controllers

  • Authors:
  • Todd J. Callantine

  • Affiliations:
  • San Jose State University, NASA Ames Research Center, Moffett Field, CA

  • Venue:
  • EPCE'07 Proceedings of the 7th international conference on Engineering psychology and cognitive ergonomics
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Research toward enhancing computational models of air traffic controllers for use in assessing new air traffic management concepts is presented. Simulation data from professional air traffic controllers is analyzed using a computational method for characterizing the constraints in force when the controllers take action. The results show controllers apply strategies to proactively prevent losses of separation between aircraft. This approach has advantages for complexity reduction and workload management and implications for human roles in future air traffic management systems.