Seventy-eight air traffic sector configurations, recorded in operational data for Kansas City Air Route Traffic Control Center on February 8, 2007, were analyzed. A method is used to select a sequence of configurations and trigger times from the operational sector combination data. The selection process considers two key characteristics of sector combining and splitting operations: controller familiarity and sector continuity. Based on a distance score, the method selects three representative configurations. Configurations selected from the clustering algorithm were compared with the actual operational configurations. The main findings of the study were: 1) on average 2.8 sectors were changed at each reconfiguration event, 2) on average, after a reconfiguration about two aircraft were handed-off, two aircraft were received, and five aircraft remained in the sector, and 3) aircraft density change is the best sector change metric to access new dynamic airspace designs using a simplified reconfiguration.


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    Title :

    Operational dynamic configuration analysis


    Contributors:

    Published in:

    Publication date :

    2010-10-01


    Size :

    1049161 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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