Algorithm Research & Explore
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3262-3265,3329

Short-term traffic flow velocity prediction model based on time series and BP-ANN

Tian Ruijie
Zhang Weishi
Zhai Huawei
College of Information Science & Technology, Dalian Maritime University, Dalian Liaoning 116026, China

Abstract

Aiming at the problem that the existing traffic flow velocity prediction model used a unique data set and a single model, this paper proposed a prediction model combining time series and artificial neural network. The model predicted real-time data and historical data by time series, and used artificial neural network to adjust the predicted values of real-time data and historical data. The experimental results show that the prediction model can control the prediction error within 7% and can effectively predict the short-term traffic flow speed under different input parameters.

Foundation Support

中央高校基本科研基金资助项目(3132016308,3132018197)
辽宁省自然科学基金资助项目(20170520196)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0308
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3262-3265,3329
Serial Number: 1001-3695(2019)11-013-3262-04

Publish History

[2019-11-05] Printed Article

Cite This Article

田瑞杰, 张维石, 翟华伟. 基于时间序列与BP-ANN的短时交通流速度预测模型研究 [J]. 计算机应用研究, 2019, 36 (11): 3262-3265,3329. (Tian Ruijie, Zhang Weishi, Zhai Huawei. Short-term traffic flow velocity prediction model based on time series and BP-ANN [J]. Application Research of Computers, 2019, 36 (11): 3262-3265,3329. )

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.

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