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- W2386930350 abstract "To improve the precision of short-term traffic flow prediction and make programming and management of traffic flow more accurately,a novel short-term traffic flow prediction model based on minimax probability machine regression(MPMR) is proposed.The prediction model based on MPMR is applied in the predictions of the short-term traffic flows using measured data set of a Beijing highway monitoring station and traffic flow data set of a region in UK,and its prediction performance is compared with those of prediction models based on neural network,support vector machine(SVM) and adaptive neural fuzzy inference system(ANFIS).The experiment result shows that the short-term traffic flow prediction model based on MPMR can track the actual traffic flow well,and the accuracy of prediction is better than those of traditional prediction models under the same condition.The effectiveness of the proposed prediction model is verified." @default.
- W2386930350 created "2016-06-24" @default.
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- W2386930350 date "2014-01-01" @default.
- W2386930350 modified "2023-09-23" @default.
- W2386930350 title "Application of Minimax Probability Machine Regression in Short-term Traffic Flow Prediction" @default.
- W2386930350 hasPublicationYear "2014" @default.
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