Sector Identification for a Large Amount of Airspace Traffic Data

Shoya TOKUMARU; Kunihiko HIRAISHI

doi:10.1587/transfun.E102.A.755

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Online ISSN : 1745-1337
Print ISSN : 0916-8508

Regular Section

Sector Identification for a Large Amount of Airspace Traffic Data

Shoya TOKUMARU, Kunihiko HIRAISHI

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Keywords: CARATS open data, airspace traffic, computational geometry

JOURNAL RESTRICTED ACCESS

2019 Volume E102.A Issue 5 Pages 755-756

DOI https://doi.org/10.1587/transfun.E102.A.755

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Abstract

Sectors in the airspace are units of the air traffic control. For airspace traffic data consists of the location of each aircraft with timestamp, we propose an efficient method to identify the sector where each aircraft lies.

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