Short-Time Fluctuation Characteristic and Combined Forecasting of High-Speed Railway Passenger Flow Based on EEMD

Xiu Shan Jiang; Rui Feng Zhang; Liang Pan

doi:10.4028/www.scientific.net/AMM.409-410.1071

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 409-410Short-Time Fluctuation Characteristic and Combined...

Short-Time Fluctuation Characteristic and Combined Forecasting of High-Speed Railway Passenger Flow Based on EEMD

Abstract:

Take Wuhan-Guangzhou high-speed railway for example. By adopting the empirical mode decomposition (EMD) attempt to analyze mode from the perspective of volatility of high speed railway passenger flow fluctuation signal. Constructed the ensemble empirical mode decomposition-gray support vector machine (EEMD-GSVM) short-term forecasting model which fuse the gray generation and support vector machine with the ensemble empirical mode decomposition (EEMD). Finally, by the accuracy of predicted results, explains the EEMD-GSVM model has the better adaptability.

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Periodical:

Applied Mechanics and Materials (Volumes 409-410)

Pages:

1071-1074

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.409-410.1071

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Online since:

September 2013

Authors:

Xiu Shan Jiang, Rui Feng Zhang, Liang Pan

Keywords:

Empirical Mode Decomposition (EMD), High-Speed Railway (HSR), Short-Time Passenger Flow Forecast, Support Vector Machine (SVM)

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References

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