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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 8
2360-2365

Bus passenger flow prediction based on adaptive equilibrium static and dynamic joint network

Huang Lai'an
Zhu Hangxiong
Li Bo
School of Automation, Guangdong University of Technology, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2023.12.0589

Abstract

To address the limitations of existing public transit passenger flow prediction methods, which often rely on predefined graph structures for spatial modeling, inadequately consider fluctuations in passenger flow caused by changes in traffic conditions, and fail to capture short-term dynamic spatial dependencies, this paper proposed an adaptively balanced staticdynamic joint network(ASDNet) model. Firstly, the model used a temporal convolution network to capture the temporal correlation of sequences. Secondly, it employed graph convolution to capture the overall spatial information between sites, and then incorporated a dynamic graph isomorphic network to capture the hidden dynamic dependencies between dynamic graphs of neighboring time slots. Finally, it introduced an adaptively balanced mechanism to adjust the information transfer between static-dynamic joint networks. The model tested a real bus dataset derived from Guangzhou city. The results demonstrate that the model reduces the MAE, RMSE, and MAPE prediction error metric by an average of 12.2%, 9.9%, and 15%, respectively, and improves the R2 accuracy metric by an average of 6.3% compared to several benchmark models. These results indicate that the model can effectively capture the spatiotemporal variation law of passenger flow data and provide technical reference for bus operation management.

Foundation Support

国家自然科学基金资助项目(62203123)
科技部外国专家资助项目(G2022030044L)
广州市科技计划资助项目(202206030005,202206010056)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.12.0589
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 8
Section: Algorithm Research & Explore
Pages: 2360-2365
Serial Number: 1001-3695(2024)08-016-2360-06

Publish History

[2024-02-22] Accepted Paper
[2024-08-05] Printed Article

Cite This Article

黄来安, 朱杭雄, 栗波. 基于自适应平衡静动态联合网络的公交客流预测 [J]. 计算机应用研究, 2024, 41 (8): 2360-2365. (Huang Lai'an, Zhu Hangxiong, Li Bo. Bus passenger flow prediction based on adaptive equilibrium static and dynamic joint network [J]. Application Research of Computers, 2024, 41 (8): 2360-2365. )

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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