Kaijun Xu1, Xueting Chen2, Yusheng Yao1, Shanshan Li1
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 603-611, 2018, DOI:10.31209/2018.100000027
Abstract The lateral conflict risk assessment of low-altitude training airspace strategic
planning, which is based on the TSE errors has always been a difficult task for
training flight research. In order to effectively evaluate the safety interval and
lateral collision risk in training airspace, in this paper, TSE error performance
using a weakly supervised learning method was modelled. First, the lateral
probability density function of TSE is given by using a multidimensional random
variable covariance matrix, and the risk model of a training flight lateral collision
based on TSE error is established. The lateral conflict risk in specific training
airspace is… More >
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