KDD paper-780 preview: Aircraft Trajectory Prediction Made Easy with Predictive Analytics

Air Traffic Management (ATM) professionals rely on decision support systems (DSTs) to make flight patterns and air flow management decision. These DSTs require accurate trajectory predictions in order to determine how airspace is likely to look in the future. This paper describes a stochastic trajectory prediction approach based on HMMs that models airspace as a 3D grid network weather observation locations. This approach could potentially result in higher safety, capacity, and efficiency commensurate with fuel savings — which could improve the environment by reducing emissions.

Watch the video (and find the PDF paper): HERE

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