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Special Topics in Trend Forecasting Based on Artificial Intelligence
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 2
365-370

Flight delay prediction model based on improved dual dynamic spatial-temporal graph network

Wei Ming
Xu Ziqing
Sun Bo
College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China
DOI: 10.19734/j.issn.1001-3695.2024.06.0282

Abstract

This paper proposed a flight delay prediction model based on multi graph information fusion and improved dual dynamic spatial-temporal graph convolutional network to address the limitation of only considering the spatial topology structure between airports in existing flight delay prediction models. Firstly, based on the different spatial correlations of flight delay propagation, it constructed four spatial adjacency matrices based on airports and routes, and performed multi graph fusion to provide more comprehensive spatial feature information. Secondly, it transformed the multi graph structure into a hypergraph to depict the spatial correlation between flight delays. It used gated time convolution to extract its time series correlation, while hypergraph convolution was used to extract its spatial correlation. This paper designed two feature enhancement modules to further avoid the loss of some point and edge spatial feature information. Finally, taking the prediction of flight delays between 50 airports in the United States from 2009 to 2019 as an example, it presented the true and predicted deviations of different airport sizes, and time steps. This model was compared with five mainstream baseline models and ablation experiments were conducted. The experimental results show that compared to other baseline models, the improved model in this paper can better fit the actual situation on this issue.

Foundation Support

民航航班广域监视与安全管控技术重点实验室开放基金资助项目(202002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.06.0282
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 2
Section: Special Topics in Trend Forecasting Based on Artificial Intelligence
Pages: 365-370
Serial Number: 1001-3695(2025)02-006-0365-06

Publish History

[2025-02-05] Printed Article

Cite This Article

魏明, 徐子清, 孙博. 基于改进双动态时空图网络的航班延误预测模型 [J]. 计算机应用研究, 2025, 42 (2): 365-370. (Wei Ming, Xu Ziqing, Sun Bo. Flight delay prediction model based on improved dual dynamic spatial-temporal graph network [J]. Application Research of Computers, 2025, 42 (2): 365-370. )

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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