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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2344-2348

Subspace modeling and optimization for airport bus operation process

Xing Zhiwei1
Gao Zhiwei1
Luo Xiao2
Luo Qian2
1. College of Electronic Information & Automation, Civil Aviation University of China, Tianjin 300300, China
2. Engineering Technology Research Center, The Second Research Institute of CAAC, Chengdu 610000, China
DOI: 10.19734/j.issn.1001-3695.2020.12.0437

Abstract

To solve the problem that the influencing factors of the airport bus operation process are complicated and the operation time is difficult to predict, this paper established an airport bus operation time prediction model based on the subspace identification algorithm. Firstly, based on the multi-source big data generated during the operation process, considering the number of passengers, departure interval, road congestion and other factors at different times, it established the state space model of the airport bus operation. Then it extracted the characteristic variables suitable for describing the operation process of the airport bus as the input and output of the model, and solved the model by subspace identification method. Finally, this paper took an actual operating route of the capital airport bus as a case for simulation analysis. The calculation results show that the mean absolute percentage error and mean square error of the model are 2.25% and 4.77, respectively, which are better than the traditional BP neural network prediction model and the least square identification model. The model has good prediction accuracy and has certain practical application value.

Foundation Support

国家重点研发计划项目(2018YFB1601200)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.12.0437
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Algorithm Research & Explore
Pages: 2344-2348
Serial Number: 1001-3695(2021)08-017-2344-05

Publish History

[2021-08-05] Printed Article

Cite This Article

邢志伟, 高志伟, 罗晓, 等. 机场巴士运行过程子空间建模与优化 [J]. 计算机应用研究, 2021, 38 (8): 2344-2348. (Xing Zhiwei, Gao Zhiwei, Luo Xiao, et al. Subspace modeling and optimization for airport bus operation process [J]. Application Research of Computers, 2021, 38 (8): 2344-2348. )

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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