To ensure safety during space launches, the Federal Aviation Administration restricts a column of airspace around the launch location and anticipated trajectory. These restrictions are often in place for hours at a time and lead to many rerouted aircraft. Recent research has focused on making these restrictions dynamic and constraining their volume. Previously, the problem was framed as a Markov decision process and solved using dynamic programming. A major challenge with this prior formulation is its computational tractability, and its application required a relatively course spatial discretization. This paper presents an, adaptive spatial discretization method, that provides a finer discretization in the spatial regions where an aircraft may need to start rerouting. This scalable method results in less disruption in the airspace while reducing risk.


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    Title :

    Optimal Aircraft Rerouting during Space Launches using Adaptive Spatial Discretization


    Contributors:


    Publication date :

    2018-09-01


    Size :

    276351 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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