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Jam Prediction and Analysis of Highway Mesh Nodes with Multidimensional Space of BP Neural Network during Holidays
Pages: 162-169
Year: Issue:  4
Journal: Highway

Keyword:  expressway networkcongestion predictionmultidimensional space of BP neural networkprediction model;
Abstract: Regarding the national introduction policy of highway tolls being exempted during some holidays,accurately predict highway network traffic and ease congestion to ensure the smooth operation of the highway network are crucial.With highway network formed by the intersection of G15 and S28as the research object,based on the original data in the Labour Day of 2013 and 2014collected on the Daxi,Huangyan,Datian and Linhai four nodes,the data noise is eliminated from the original data by wavelet analysis first,and then the multidimensional space of BP neural network with the closed loop feedback is selected to establish the highway network predicting model,input multidimensional data and simulate traffic to predict the highway network nodes flow of the Labor Day in 2015,and compare with the real data.The test results show that the predicted data has good fitting degree with the real data by the method.Finally,according to the model,the traffic flow of the Labor Day in 2016 is predicted,and the measures to deal with traffic jam highway network and significance of predicting are proposed and summarized.The mode can be used to simulate and predicate for other holidays′traffic flow.
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