Situation Assessment of Air Traffic Based on Complex Network Theory and Ensemble Learning

Author:

Liu Fei1,Li Jiawei2,Wen Xiangxi1ORCID,Wang Yu3,Tong Rongjia4,Liu Shubin2,Chen Daxiong5

Affiliation:

1. Air Traffic Control and Navigation College, Air Force Engineering University, Xi’an 710051, China

2. PLA Troops No. 93735, Tianjin 310700, China

3. PLA Troops No. 66137, Beijing 100032, China

4. PLA Troops No. 94188, Xi’an 710050, China

5. PLA Troops No. 94755, Zhangzhou 363000, China

Abstract

With the rapid development of the air transportation industry, the air traffic situation is becoming more and more complicated. Determining the situation of air traffic is of great significance to ensure the safety and smoothness of air traffic. The strong subjectivity of assessment criteria, inaccurate assessment results and weak systemic assessment method are the main problems in air traffic situation assessment research. The aim of our research is to present an objective and accurate situation assessment method for air traffic systems. The paper presents a model to assess air traffic situation based on the complex network theory and ensemble learning. The air traffic weighted network model was introduced to systematically describe the real state of an air traffic system. Assessment criteria based on the complex network analysis method can systematically reflect the operational state of an air traffic weighted network system. We transformed the air traffic situation assessment into a binary classification, which makes situation assessment objective and accurate. Ensemble learning was introduced to improve the classification accuracy, which further improves the accuracy of the situation assessment model. The model was trained and tested on the dataset of the East China air traffic weighted network in 2019. Its average classification accuracy is 0.98. The recall and precision rates both exceed 0.95. Experiments have confirmed that the situation assessment model can accurately output air traffic situation value and situation level. Furthermore, the assessment results are consistent with the real operational situation of the air traffic in East China.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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