Prediction Research of Highway Traveling Passenger Volume Based on Wavelet Neural Network

Ting Gui Li; Li Wang

doi:10.4028/www.scientific.net/AMM.401-403.1401

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Prediction Research of Highway Traveling Passenger...

Prediction Research of Highway Traveling Passenger Volume Based on Wavelet Neural Network

Abstract:

Aiming at the problem that it is difficult to predict the highway traveling passenger volume (HTPV), a new prediction model of HTPV based on wavelet neural network (WNN) is proposed. A case study is given to verify the proposed model. The simulation results show that the WNN model has higher convergence speed and prediction precision than the traditional BP neural network model (TBPNNM), and has more practical values.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1401-1405

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1401

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Online since:

September 2013

Authors:

Ting Gui Li, Li Wang

Keywords:

Highway Traveling Passenger Volume, Prediction Model, Wavelet Neural Network (WNN)

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