Controller interventions to mitigate potential air traffic conflicts

Deepti Surabattula, Michael Kaplan, Steven J. Landry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An experiment was conducted to obtain empirical evidence that controllers, in addition to detecting and resolving expected losses-of-separation, intervene to mitigate potential conflicts that would not result in a loss of separation assuming proper compliance by both pilots. Participant controllers controlled traffic that contained aircraft expected to lose separation as well as others that would not lose separation, but were configured in such a way that a loss of separation could occur quickly if one of the aircraft did not comply with their clearance. Binary logistic regressions performed on the aircraft that were subjected to control by the aircraft provides evidence that this mitigation set improves the predictive power of a model to identify aircraft to which the participants applied control. Moreover, a regression performed on the aircraft for whom controllers provided informative commands, particularly traffic identification calls, demonstrated differences between the loss-of-separation aircraft and the mitigation aircraft. The results have implications for understanding strategies used by air traffic controllers when deciding for what aircraft controllers will intervene.

Original languageEnglish (US)
Title of host publication54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010
Pages40-44
Number of pages5
DOIs
StatePublished - 2010
Event54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010 - San Francisco, CA, United States
Duration: Sep 27 2010Oct 1 2010

Publication series

NameProceedings of the Human Factors and Ergonomics Society
Volume1
ISSN (Print)1071-1813

Other

Other54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010
Country/TerritoryUnited States
CitySan Francisco, CA
Period9/27/1010/1/10

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics

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