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Algorithm Research & Explore
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1998-2002

Research on freeway toll prediction method based on GEP

Liu Ning
Huang Zhangcan
Tan Qing
School of Science, Wuhan University of Technology, Wuhan 430070, China

Abstract

The prediction of the future income of highway toll has great guiding significance for the management and construction planning. However, the change of toll income is influenced by many factors. It has strong nonlinearity and complexity. The traditional prediction model cannot accurately express the development law of the toll income. This paper established a highway toll prediction model based on gene expression programming algorithm(GEP). It used the GEP algorithm to establish a complex functional relationship between current income and historical data, which accurately characterize the development rule of toll income over time. In addition, it proposed an effective correction model for the influence of toll reduction policies during holidays. Finally, this paper collected the historical data on the toll revenue of 12 companies such as Shanghai-Hangzhou-Ningbo Expressway Co., Ltd. Compared with traditional ARIMA and neural network prediction model, and the results fully verify the effectiveness and accuracy of the proposed algorithm.

Foundation Support

国家自然科学基金资助项目(61672391)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0023
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 1998-2002
Serial Number: 1001-3695(2019)07-018-1998-05

Publish History

[2019-07-05] Printed Article

Cite This Article

刘宁, 黄樟灿, 谈庆. 基于GEP的高速公路通行费预测方法研究 [J]. 计算机应用研究, 2019, 36 (7): 1998-2002. (Liu Ning, Huang Zhangcan, Tan Qing. Research on freeway toll prediction method based on GEP [J]. Application Research of Computers, 2019, 36 (7): 1998-2002. )

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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