Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 3
794-798,860

Inter-regional taxi demand forecasting based on time series correlation dynamic graph and ordinary differential equation

Wang Haicheng1,2
Ma Jiying1,2
Zhang Yuanyuan1,2
Yang Shaozu1,2
1. School of Computer Science & Technology, Shenyang University of Chemical Technology, Shenyang 110142, China
2. Liaoning Provincial Key Laboratory of Intelligent Technology of Chemical Process Industry, Shenyang 110142, China
DOI: 10.19734/j.issn.1001-3695.2023.06.0317

Abstract

In order to solve the problem of high vacancy rate and unbalanced demand distribution in the taxi industry, through in-depth research on the taxi travel region, this paper proposed a demand forecasting model combining temporal correlation dynamic graphs and ordinary differential equations, called TCG-ODE. Firstly, the model used ODE to model the differential equations of GCN, and abstracted the stacked local feature information into a dynamic graph. It advanced the local node state based on the timing characteristics of nodes. Then, it designed a distillation scheme based on the attention score adjustment sampling strategy to improve the adaptation effect to the multi-layer sparse graph, so as to more stably represent the complex spatio-temporal characteristics, and finally realized the prediction of inter-regional taxi demand. Experimental results conducted on real taxi order datasets demonstrate that the TCG-ODE model outperforms both benchmark models and the preimprovement model in terms of demand prediction accuracy. By accurately forecasting taxi demand among different regions, this model provides decision support information for taxi drivers and passengers, thereby optimizing the supply-demand relationship.

Foundation Support

辽宁省自然基金资助项目(2022-MS-291)
国家外国专家计划资助项目(G2022006008L)
辽宁省教育厅基本科研资助项目(LJKMZ20220781)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.06.0317
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Algorithm Research & Explore
Pages: 794-798,860
Serial Number: 1001-3695(2024)03-021-0794-05

Publish History

[2023-09-19] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

王海程, 马纪颖, 张苑媛, 等. 融合时序关联动态图与常微分方程的区域间出租车需求预测 [J]. 计算机应用研究, 2024, 41 (3): 794-798,860. (Wang Haicheng, Ma Jiying, Zhang Yuanyuan, et al. Inter-regional taxi demand forecasting based on time series correlation dynamic graph and ordinary differential equation [J]. Application Research of Computers, 2024, 41 (3): 794-798,860. )

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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