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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3697-3700,3704

Traffic congestion prediction and assessment based on multi-index fuzzy comprehensive evaluation

Yan Yuchan
Bai Lin
Wu Qisheng
Ye Zhen
School of Electronics & Control Engineering, Chang'an University, Xi'an 710064, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0425

Abstract

In view of the different impacts of different traffic periods on traffic congestion and single factor fail to accurately characterize the traffic congestion state, this paper proposed a multi-index fuzzy comprehensive evaluation method for traffic congestion state evaluation. The method used the particle swarm optimization algorithm to optimize the support vector regression to predict the average road speed and traffic flow, obtained the predicted values of the average speed v, traffic flow density D, and road saturation S. It input the three factor indexes to multi-index fuzzy comprehensive evaluation model to establish the set of factors and evaluation(level) for traffic congestion. It determined the weight coefficients of three factors under the morning peak, the evening peak and other periods by the entropy method, then determined the degree of membership of each index in each period by the trapezoidal membership function. Finally, it divided the traffic congestion state into six levels. The results of predictive evaluation at the traffic data of the I405 highway in PeMS show that the traffic congestion state evaluated by the proposed method is basically consistent with the actual state, the proposed method has a high prediction accuracy, the correct rate can reach 94.79%.

Foundation Support

中央高校基本科研业务费专项资金资助项目(310832173701)
河南省交通运输厅科技项目(2019G-2-5)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0425
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3697-3700,3704
Serial Number: 1001-3695(2019)12-037-3697-04

Publish History

[2019-12-05] Printed Article

Cite This Article

晏雨婵, 白璘, 武奇生, 等. 基于多指标模糊综合评价的交通拥堵预测与评估 [J]. 计算机应用研究, 2019, 36 (12): 3697-3700,3704. (Yan Yuchan, Bai Lin, Wu Qisheng, et al. Traffic congestion prediction and assessment based on multi-index fuzzy comprehensive evaluation [J]. Application Research of Computers, 2019, 36 (12): 3697-3700,3704. )

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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