期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：153
期号：3
页码：032007
DOI：10.1088/1755-1315/153/3/032007
语种：English
出版社：IOP Publishing
摘要：In the application of current airfield clearance standard, operation differences are neglected. As a result, this paper sets up a distributional pattern of flight paths at some airfield and new obstacle limitation standards on various security target levels. It interprets and fits the flight data into actual trajectory curves and applies BP neural network to build a prediction model of the spatial position of aircrafts. Based on this theory, the model is implemented in further statistical analyses of the original and simulation data collected in this airfield, which leads to the establishment of distribution rules of aircraft trajectory. This paper proposes a fresh method to set up an airfield obstacle free space and has important reference values to improve the administration of airfield obstacle free space.
