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.
Optimal Aircraft Rerouting during Space Launches using Adaptive Spatial Discretization
01.09.2018
276351 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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