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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 11
3409-3414

Saturation flow prediction method for UAV in fusion airspace based on wavelet reconstruction-Autoformer

Qiao Yingcong
Ma Xin
Chen Xiangzuo
Ma Xiong
College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan Sichuan 618300, China
DOI: 10.19734/j.issn.1001-3695.2024.03.0098

Abstract

To achieve the prediction of UAV saturation flow in fusion airspace, this paper proposed a UAV saturation flow prediction method based on wavelet reconstruction-Autoformer(WR-Autoformer). Initially, traffic flow data was decomposed using wavelet transformation to mitigate the impact of noise and highlight data characteristics. Subsequently, it utilized the Autoformer model's deep decomposition mechanism and autocorrelation mechanism for foundational prediction. Considering the key factors affecting saturation flow, it introduced three UAV traffic correction coefficients. Finally, it outputted the UAV saturation flow prediction for fusion airspace by combining the UAV saturation flow calculation method. Upon verification, the WR-Autoformer model has reduced the average absolute error and mean squared error by 13% to 48% in 48 h and 96 h forecasts, and the predicted saturation flow has increased by 36% to 38% compared to the current state. The experimental results prove that the proposed model can achieve accurate predictions and enhance the saturation flow of UAV in fusion airspace, while the vertical separation of UAV meets the safety requirements for class A aircraft.

Foundation Support

中国民用航空局安全能力项目(2022237)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0098
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 11
Section: System Development & Application
Pages: 3409-3414
Serial Number: 1001-3695(2024)11-030-3409-06

Publish History

[2024-08-05] Accepted Paper
[2024-11-05] Printed Article

Cite This Article

乔英聪, 马昕, 陈相佐, 等. 基于小波重构-Autoformer的无人机融合空域饱和流量预测 [J]. 计算机应用研究, 2024, 41 (11): 3409-3414. (Qiao Yingcong, Ma Xin, Chen Xiangzuo, et al. Saturation flow prediction method for UAV in fusion airspace based on wavelet reconstruction-Autoformer [J]. Application Research of Computers, 2024, 41 (11): 3409-3414. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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