A methodology is presented for generating conflict scenarios that can be used as test cases to estimate the operational performance of a conflict probe. Recorded air traffic data is time shifted to create traffic scenarios featuring conflicts with characteristic properties similar to those encountered in typical air traffic operations. First, a reference set of conflicts is obtained from trajectories that are computed using birth points and nominal flight plans extracted from recorded traffic data. Distributions are obtained for several primary properties (e.g., encounter angle) that are most likely to affect the performance of a conflict probe. A genetic algorithm is then utilized to determine the values of time shifts for the recorded track data so that the primary properties of conflicts generated by the time shifted data match those of the reference set. This methodology is successfully demonstrated using recorded traffic data for the Memphis Air Route Traffic Control Center; a key result is that the required time shifts are less than 5 min for 99% of the tracks. It is also observed that close matching of the primary properties used in this study additionally provides a good match for some other secondary properties.


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    Titel :

    Methodology for Generating Conflict Scenarios by Time Shifting Recorded Traffic Data


    Beteiligte:
    Paglione, Mike (Autor:in) / Oaks, Robert (Autor:in) / Bilimoria, Karl D. (Autor:in)

    Kongress:

    AIAA Aviation Technology, Integration and Operations Technical Forum ; 2003 ; Denver, CO, United States


    Erscheinungsdatum :

    01.01.2003


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Methodology for Generating Conflict Scenarios by Time Shifting Recorded Traffic Data

    Paglione, Mike / Oaks, Robert / Bilimoria, Karl | AIAA | 2003


    AIAA-2003-6724 Methodology for Generating Conflict Scenarios by Time Shifting Recorded Traffic Data

    Bilimoria, K. / Paglione, M. / Oaks, R. et al. | British Library Conference Proceedings | 2003


    Methodology for the generation of air traffic scenarios based on recorded traffic data

    Oaks, R. / Shurong Liu, Shurong Liu / Zhou, D. et al. | IEEE | 2003


    Methodology for the generation of air traffic scenarios based on recorded traffic data

    Oaks, R. / Liu, Shurong / Zhou, D. et al. | Tema Archiv | 2003


    Methodology for the Generation of Air Traffic Scenarios Based on Recorded Traffic Data

    Oaks, R. / IEEE / AIAA | British Library Conference Proceedings | 2003