The Autonomous Operations Planner (AOP), developed by NASA, is a flexible and powerful prototype of a flight-deck automation system to support self-separation of aircraft. The AOP incorporates a variety of algorithms to detect and resolve conflicts between the trajectories of its own aircraft and traffic aircraft while meeting route constraints such as required times of arrival and avoiding airspace hazards such as convective weather and restricted airspace. This integrated suite of algorithms provides flight crew support for strategic and tactical conflict resolutions and conflict-free trajectory planning while en route. The AOP has supported an extensive set of experiments covering various conditions and variations on the self-separation concept, yielding insight into the system s design and resolving various challenges encountered in the exploration of the concept. The design of the AOP will enable it to continue to evolve and support experimentation as the self-separation concept is refined.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Autonomous Operations Planner: A Flexible Platform for Research in Flight-Deck Support for Airborne Self-Separation


    Contributors:

    Conference:

    12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference ; 2012 ; Indianapolis, IN, United States


    Publication date :

    2012-09-17


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English





    AUTONOMOUS OPERATIONS PLANNER: A FLEXIBLE PLATFORM FOR RESEARCH IN FLIGHT-DECK SUPPORT FOR AIRBORNE SELF-SEPARATION

    Karr, D. / Vivona, R. / Roscoe, D. et al. | British Library Conference Proceedings | 2012



    Flight Deck Decision Support Tool for Autonomous Airborne Operations

    M. G. Ballin / V. Sharma / R. A. Vivona et al. | NTIS | 2002


    A Flight Deck Decision Support Tool for Autonomous Airborne Operations

    Ballin, Mark / Sharma, Vivek / Vivona, Robert et al. | AIAA | 2002