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Study on traffic flow prediction using RBF neural network

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2 Author(s)
Jian-Mei Xiao ; Dept. of Electr. & Autom., Shanghai Maritime Univ., China ; Xi-Huai Wang

This paper presents a new short-term multi-step freeway traffic flow prediction model using a radial basis function neural network with fuzzy c-means clustering. The fuzzy c-mean clustering algorithm was used to determine the center position of the hidden layer of neural network. A gradient descent method was used to solve the weights from the hidden layer to the output layer. The real traffic data is used to demonstrate that the algorithm is effective for freeway traffic flow prediction.

Published in:

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on  (Volume:5 )

Date of Conference:

26-29 Aug. 2004