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This paper introduces an effective similarity search algorithm for a new data type, called spatiotemporal scenario data, to enable quick retrieval of similar scenarios from a database. This similarity search algorithm is a critical step towards closing the loop between big data and optimal decision-making to conquer the real-time design challenges of strategic air traffic management.

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This page is a summary of: Similarity Search of Spatiotemporal Scenario Data for Strategic Air Traffic Management, Journal of Aerospace Information Systems, March 2019, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.i010692.
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