TY - GEN
T1 - Controller interventions to mitigate potential air traffic conflicts
AU - Surabattula, Deepti
AU - Kaplan, Michael
AU - Landry, Steven J.
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79952947216&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952947216&partnerID=8YFLogxK
U2 - 10.1518/107118110X12829369199119
DO - 10.1518/107118110X12829369199119
M3 - Conference contribution
AN - SCOPUS:79952947216
SN - 9781617820885
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 40
EP - 44
BT - 54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010
T2 - 54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010
Y2 - 27 September 2010 through 1 October 2010
ER -