DocumentCode
519368
Title
Real Aircraft Navigation Data Statistic and Rule Analysis
Author
Li, Xinsheng ; Li, Taiyong
Author_Institution
Inst. of Image & Graphics, Sichuan Univ., Chengdu, China
Volume
1
fYear
2010
fDate
5-6 June 2010
Firstpage
361
Lastpage
365
Abstract
To understand the actual flying rules of aircrafts in air and discriminate real and simulated aviation, the actual statistical navigation data is calculated in this paper. These data are collected from the real flight radar track and flight plan of ATC system. By means of statistical mathematics, the acceleration, deceleration, climb and descent rate, average speed, and probability densities of varieties of aircraft types are obtained. Varieties of aircraft types show different performance and flight rules by analysis of these graphs and charts. If the aircrafts are in a similar class such as A319, B737, and B757, their flying performance would have little difference in the analysis result above. Otherwise the difference is obvious, e.g. YN12 and A319 etc. The result indicates that it is very important to consider the influence of flight condition, performance, ATC rules, regulations of airline companies, and pilots´ operation habits, which are important factors to improve the fidelity of flight simulation.
Keywords
aerospace simulation; air traffic control; aircraft navigation; statistical analysis; ATC system; actual statistical navigation data; aircraft types; flight plan; flight simulation; real aircraft navigation data statistic; real flight radar track; rule analysis; Acceleration; Aerospace control; Aerospace simulation; Air traffic control; Aircraft navigation; Counting circuits; High definition video; Probability; Radar tracking; Statistical analysis; acceleration; air traffic control; average speed; climb rate; deceleration; descent rate; flight simulation; navigation rules; statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-4026-9
Type
conf
DOI
10.1109/CCIE.2010.97
Filename
5492103
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