Airborne conflict management is an enabling capability for NASA's distributed air-ground traffic management (DAG-TM) concept. DAGTM has the goal of significantly increasing capacity within the National Airspace System, while maintaining or improving safety. Under DAG-TM, "autonomous" aircraft maintain separation from each other and from "managed" aircraft unequipped for autonomous flight. Reliable trajectory prediction is a key capability for providing effective ACM functions. Trajectory uncertainties due to environmental effects, differences in aircraft systems and performance, and unknown intent information lead to prediction errors that can adversely affect AOP performance. These buffers is structured based on prediction errors noted from previous simulations such as a recent joint experiment between NASA Ames and Langley Research Centers and from other outside studies. Currently defined ADS-B parameters related to navigation capability, trajectory type, and path conformance is used to support the algorithms that generate the buffers.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Handling trajectory uncertainties for airborne conflict management


    Contributors:
    Barhydt, R. (author) / Doble, N.A. (author) / Karr, D.A. (author) / Palmer, M.T. (author)

    Published in:

    Publication date :

    2005-01-01


    Size :

    7996186 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Handling Trajectory Uncertainties for Airborne Conflict Management

    Barhydt, R. / Doble, N. A. / Karr, D. A. et al. | British Library Conference Proceedings | 2005


    Handling Trajectory Uncertainties for Airborne Conflict Management

    Barhydt, Richard / Doble, Nathan A. / Karr, David et al. | NTRS | 2005


    Handling Trajectory Uncertainties for Airborne Conflict Management

    R. Barhydt / N. A. Doble / D. Karr et al. | NTIS | 2005


    Strategic Airborne Trajectory Management

    William B Cotton / Matthew C Underwood / Clay E Hubbs | NTRS | 2020


    Airborne 4-dimensional trajectory management

    Honzik, Bohumil | IEEE | 2012

    Free access