NASA Langley has developed a multi-mode decision support system for pilots operating in a Distributed Air-Ground Traffic Management (DAG-TM) environment. An Autonomous Operations Planner (AOP) assists pilots in performing separation assurance functions, including conflict detection, prevention, and resolution. Ongoing AOP design has been based on a comprehensive human factors analysis and evaluation results from previous human-in-the-loop experiments with airline pilot test subjects. AOP considers complex flight mode interactions and provides flight guidance to pilots consistent with the current aircraft control state. Pilots communicate goals to AOP by setting system preferences and actively probing potential trajectories for conflicts. To minimize training requirements and improve operational use, AOP design leverages existing alerting philosophies, displays, and crew interfaces common on commercial aircraft. Future work will consider trajectory prediction uncertainties, integration with the TCAS collision avoidance system, and will incorporate enhancements based on an upcoming air-ground coordination experiment.
Design of a Multi-mode Flight Deck Decision Support System for Airborne Conflict Management
2004 International Conference on Human Computer Interaction in Aeronautics ; 2004 ; Toulouse, France
2004-01-01
Preprint
No indication
English
AIAA-2002-4554 A Flight Deck Decision Support Tool for Autonomous Airborne Operations
British Library Conference Proceedings | 2002
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