2013
DOI: 10.4028/www.scientific.net/amm.401-403.1401
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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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Cited by 2 publications
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“…In the process of urban rail transit planning, design, construction and operation, in order to make the construction model and scale not only meet the needs of recent urban transport, but also adapt to the needs of long-term trends in urban transport, the study of urban rail transport passenger transfer is necessary on the basis of the urban passenger transfer characteristics study [6] [7].…”
Section: Introductionmentioning
confidence: 99%
“…In the process of urban rail transit planning, design, construction and operation, in order to make the construction model and scale not only meet the needs of recent urban transport, but also adapt to the needs of long-term trends in urban transport, the study of urban rail transport passenger transfer is necessary on the basis of the urban passenger transfer characteristics study [6] [7].…”
Section: Introductionmentioning
confidence: 99%