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The Lateral Conflict Risk Assessment for Low-altitude Training Airspace using Weakly Supervised Learning Method


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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 weakly supervised learning method was modelled. Firstly, the lateral probability density function of TSE is given by using multidimensional random variable covariance matrix, and the risk model of training flight lateral collision based on TSE error is established, and the lateral conflict risk in specific training airspace is analyzed, and then the lateral collision model is built. Through the quantification of the risk probability of lateral collisions, the security level of specific airspace is evaluated. The analysis of the examples shows that for normal training flight in a variety of 4D flight track data, the lateral collision risk in specific training airspace is , the conflict risk meets the requirement of safety target level of international civil aviation organization.


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Pages

Total Pages: 9
Pages: 603-611

DOI
10.31209/2018.100000027


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Published

Volume: 24
Issue: 3
Year: 2018

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JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




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