Big Data Machine Learning for Flight Planning

Ralf René Shu-Zhong Cabos
Weather forecasts serve as a fundamentally important input to the flight planning process and can carry an inherent measure of uncertainty. Such uncertainties thus lead to a trajectory being planned that does not represent the most cost-optimal option. Weather forecast generation relies on numerical simulations of the earth’s atmosphere, which in turn rely on models imitating the physical processes involved. Technological advances have meanwhile lead to a surge in means to more efficiently process large...
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