Paper Title:
Research on the Application of the Prediction of the Expressway Traffic Flow Based on the Neural Network with Genetic Algorithm
  Abstract

In order to improve the efficiency and accuracy of the prediction of expressway traffic flow, this paper, based on the characteristics of the data of the expressway traffic flow, focuses on an optimized method of prediction with the application of the neural network with genetic algorithm. Applying genetic algorithm, optimizing BP neural network structure and establishing a new mixed model, this algorithm speed up the slow convergence velocity of traditional BP neural network prediction and increases the possibility to escape local minima. This algorithm based on the optimized genetic neural network predicts the actual data of the expressway traffic flow, the result of which shows that the application of the optimized method of prediction with the genetic neural network algorithm is effective and that it improves the rate and the accuracy of the prediction of the expressway traffic flow.

  Info
Periodical
Advanced Materials Research (Volumes 189-193)
Edited by
Zhengyi Jiang, Shanqing Li, Jianmin Zeng, Xiaoping Liao and Daoguo Yang
Pages
4400-4404
DOI
10.4028/www.scientific.net/AMR.189-193.4400
Citation
C. M. Zhu, C. P. Yan, X. L. Xu, G. X. Wu, "Research on the Application of the Prediction of the Expressway Traffic Flow Based on the Neural Network with Genetic Algorithm", Advanced Materials Research, Vols. 189-193, pp. 4400-4404, 2011
Online since
February 2011
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$32.00
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