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Aircraft Trajectory Prediction Made Easy with Predictive Analytics
2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16
At the heart of Air Traffic Management (ATM) lies the Decision Support Systems (DST) that rely upon accurate trajectory prediction to determine how the airspace will look like in the future to make better decisions and advisories. Dealing with airspace that is prone to congestion due to environmental factors still remains the challenge especially when a deterministic approach is used in the trajectory prediction process. In this paper, we describe a novel stochastic trajectory prediction
doi:10.1145/2939672.2939694
dblp:conf/kdd/AyhanS16
fatcat:nmk7gzdpq5cqphh7ocjkghwime