Traffic flow modeling of urban expressway using artificial neural networks

  • Authors:

  • Guo-Jiang Shen

  • Affiliations:

  • The National Key Lab. of Industrial Control Technology, Zhejiang University, Hangzhou, China

  • Venue:
  • ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
  • Year:
  • 2006

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Abstract

From the viewpoint of macroscopic dynamic characteristics of urban expressway traffic flow, a commonly used macroscopic dynamic deterministic traffic flow model is analyzed, and the 1.5-layer feed-forward network modeling for the urban expressway traffic flow is established. Hangzhou urban expressway is simulated and the result demonstrates that the neural network model is able to reproduce traffic congestion built in realty with considerable accuracy, thus making it suitable for evaluating various control strategies and performing further modeling and simulation tasks.