This paper presents a linear Integer Programming model for managing air traffic flow in the United States. The decision variables in the model are departure delays and predeparture reroutes of aircraft whose trajectories are predicted to cross weather-impacted regions of the National Airspace System. The model assigns delays to a set of flights while ensuring their trajectories are free of any conflicts with weather. In a deterministic setting, there is no airborne holding due to unexpected weather incursion in a flight s path. The model is applied to solve a large-scale traffic flow management problem with realistic weather data and flight schedules. Experimental results indicate that allowing rerouting can reduce departure delays by nearly 57%, but it is associated with an increase in total airborne time due to longer routes flown by aircraft. The computation times to solve this problem were significantly lower than those reported in the earlier studies.


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    Title :

    Optimizing Flight Departure Delay and Route Selection Under En Route Convective Weather


    Contributors:

    Conference:

    2010 AIAA Guidance, Navigation, and Control Conference ; 2010 ; Toronto, Ontario, Canada


    Publication date :

    2010-08-02


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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