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A Multiple Agent Model of Human Performance in Automated Air Traffic Control and Flight Management OperationsA predictive model of human operator performance (flight crew and air traffic control (ATC)) has been developed and applied in order to evaluate the impact of automation developments in flight management and air traffic control. The model is used to predict the performance of a two person flight crew and the ATC operators generating and responding to clearances aided by the Center TRACON Automation System (CTAS). The purpose of the modeling is to support evaluation and design of automated aids for flight management and airspace management and to predict required changes in procedure both air and ground in response to advancing automation in both domains. Additional information is contained in the original extended abstract.
Document ID
20020034621
Document Type
Conference Paper
Authors
Corker, Kevin (NASA Ames Research Center Moffett Field, CA United States)
Pisanich, Gregory (Sterling Software, Inc. Moffett Field, CA United States)
Condon, Gregory W.
Date Acquired
August 20, 2013
Publication Date
January 1, 1995
Subject Category
Behavioral Sciences
Meeting Information
5th International Conference on Human-Machine Interaction and Artificial Intelligence in Aerospace(Toulouse)
Funding Number(s)
PROJECT: RTOP 504-64-13
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.