Algorithm Research & Explore
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2976-2979

Decision method of traffic congestion based on weight-optimized neutral network

Li Bo
School of Electronics & Information Engineering, Liaoning University of Technology, Jinzhou Liaoning 121001, China

Abstract

To deal with the low accuracy of existing decision methods of traffic congestion under the condition of the uncertain and incomplete evidences, this paper proposed a weight-optimized neutral network. At first, this paper applied the quadratic-form membership function to present the characteristics of evidences. It achieved the evidence contributions by using the information entropy, which could be considered as the weights on input layer in the neutral network. Moreover, the weights on the hidden and output layers were adaptively computed on the basis of initial weight and previous gradient sum. It reduced the accumulated error from the uncertain and incomplete evidences. Finally, the numerical example proved both accuracy and convergence of the proposed method in terms of actual traffic environment. The results indicate that the proposed method can make the stable decision on traffic congestion.

Foundation Support

国家自然科学基金面上项目(51679116)
辽宁省高等学校创新人才支持计划项目(LR2017068)
辽宁省自然科学基金面上项目(2020-MS-292)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.06.0195
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Algorithm Research & Explore
Pages: 2976-2979
Serial Number: 1001-3695(2020)10-019-2976-04

Publish History

[2020-10-05] Printed Article

Cite This Article

李波. 基于权值优化神经网络的交通拥堵程度决策方法 [J]. 计算机应用研究, 2020, 37 (10): 2976-2979. (Li Bo. Decision method of traffic congestion based on weight-optimized neutral network [J]. Application Research of Computers, 2020, 37 (10): 2976-2979. )

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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