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- W2362091279 abstract "The road accidents forecasting is the important content of the research of traffic safety.For the volatile road accident sequence based on grey prediction model,the prediction accuracy is relatively low,the wavelet analysis theory is introduced,based on wavelet decomposition theory,the grey prediction model is established.The road accident of a province from 2002 to 2009 which is a non-stationary data sequence is decomposed into multilayer of approximate sense stationary series by the wavelet decomposition,then the reconstructed low frequency signal is predicted with the grey GM(1,1) model.Simulation results show that this method is more fitting raw data than the direct use of grey GM(1,1) model,and the accuracy of result is higher.The results can help the department of transportation make better decisions on supervision and policies." @default.
- W2362091279 created "2016-06-24" @default.
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- W2362091279 date "2015-01-01" @default.
- W2362091279 modified "2023-09-25" @default.
- W2362091279 title "Road Accidents Prediction based on Wavelet Analysis of the Grey GM(1,1)Model" @default.
- W2362091279 hasPublicationYear "2015" @default.
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