Paper Title:
The Study of Combination Model Forecasting of Dynamic Traffic Volumes Based on MATLAB
  Abstract

The most important part of ITS (Intelligent Technology System) is the forecasting of dynamic traffic information reporting in a timely manner. Based on the results of past empirical studies, this article is presenting and analyzing two models based on Grey Theory and the BP (Back propagation) Neural Network. In accordance with the advantages and disadvantages of these two models, we established a new combination model. This article also presents the calculation of dynamic traffic stream volumes based on the application of two models (Grey Theory and BP Neutral Network).The results predicted an increase in the overall prediction accuracy of road traffic volume.

  Info
Periodical
Advanced Materials Research (Volumes 228-229)
Edited by
Quanjie Gao
Pages
327-331
DOI
10.4028/www.scientific.net/AMR.228-229.327
Citation
Q. Sun, W. D. Ding, H. L. Liu, S. P. Du, "The Study of Combination Model Forecasting of Dynamic Traffic Volumes Based on MATLAB", Advanced Materials Research, Vols. 228-229, pp. 327-331, 2011
Online since
April 2011
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Price
$32.00
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