Control Cost Simulation Data

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Author(s)
Popescu, Vlad M.
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Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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Abstract
This simulation studies control cost in an airspace sector. The effects of autonomy ratio and traffic volume on control cost are exhibited. The research uses a Monte Carlo simulator framework which allocates directly controlled routes and autonomous self-deconflicting 4-D trajectory flows in the airspace. Several stochastic models of aircraft scheduling, navigation precision, and conflict detection and resolution are interconnected in the simulation. A Poisson process model is proposed for control cost.
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2013-07-22
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