Abstract

This paper presents research on computational models of pilot activities for detecting and simulating pilot errors, and discusses how these techniques may be used to enhance aviation safety. The discussion addresses improved feedback about pilot errors to support training, and the use of actual and simulated error data to understand how errors may impact new air traffic management concepts and flight deck automation. The research is supported by the System-Wide Accident Prevention project of the NASA Aviation Safety Program.

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