Combination Prediction Based on RBF-SVM Model for Short-Term Trafficflow

Jun Wu; Jin Hui Zou

doi:10.4028/www.scientific.net/AMM.475-476.729

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 475-476Combination Prediction Based on RBF-SVM Model for...

Combination Prediction Based on RBF-SVM Model for Short-Term Trafficflow

Abstract:

For short-term trafficflow prediction,this paper applies a combination prediction base on RBF-SVM model.At first,it is to use RBF and SVM to get separately two prediction values,then each error can be calculated by each prediction value .Using the two errors to adjust the two weights.At last adding the prediction values multiplied by weights can get a more approximate value to the real value. Simulated values demonstrate that it is an accurate and efficient method.

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Periodical:

Applied Mechanics and Materials (Volumes 475-476)

Pages:

729-732

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.475-476.729

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Online since:

December 2013

Authors:

Jun Wu*, Jin Hui Zou

Keywords:

RBF, Short-Term Trafficflow Prediction, SVM Adjust Weight

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* - Corresponding Author

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