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Sector Identification for a Large Amount of Airspace Traffic Data
Shoya TOKUMARU Kunihiko HIRAISHI
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2019/05/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: Mathematical Systems Science
CARATS open data, airspace traffic, computational geometry,
Full Text: PDF(155.8KB)>>
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.