The Model of Short-Time Traffic Flow Prediction on High-Grade Highway


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In order to study the short-time traffic flow prediction on high-grade highway, the article proposed a model based on wavelet analysis and RBF neural network. Aiming to the traffic flow’s characteristic of highway, the study focus on three facet: network topology, the difference of continuous flow and discontinuous flow , the flow of lanes’ uplink and downlink are not equal. Thus the article use the wavelet analysis to do data preprocessing, then structure the model of short-term traffic flow prediction based on RBF neural network. The experiment result shows that the new hybrid model adapt to high-grade highway, and model considering traffic flow characteristic is better than the model which is not. Meanwhile the model has the higher precision of prediction.



Advanced Materials Research (Volumes 255-260)

Edited by:

Jingying Zhao




H. Chen et al., "The Model of Short-Time Traffic Flow Prediction on High-Grade Highway", Advanced Materials Research, Vols. 255-260, pp. 4128-4132, 2011

Online since:

May 2011




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