Sector Identification for a Large Amount of Airspace Traffic Data

Shoya TOKUMARU  Kunihiko HIRAISHI  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E102-A   No.5   pp.755-756
Publication Date: 2019/05/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E102.A.755
Type of Manuscript: LETTER
Category: Mathematical Systems Science
Keyword: 
CARATS open data,  airspace traffic,  computational geometry,  

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Summary: 
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.