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Short-Time Passenger Volume Forecasting of Urban Rail Transit Based on Multiple Fusion

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Abstract:

Aiming at enhancing the estimation performance of passenger volume for urban transit, based on analysis of horizontal and vertical characteristics and principles of multiple fusion technology, respectively, establishing 3 forecast models, and compared with the measured data. The results show that, the proposed new method has a comparative advantage to reduce prediction error.

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Periodical:

Applied Mechanics and Materials (Volumes 641-642)

Pages:

773-776

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.641-642.773

Citation:

Cite this paper

Online since:

September 2014

Authors:

Ji Wei Li*

Keywords:

Multiple Fusion, Passenger Volume, Short-Time Prediction, Urban Rail Transit

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Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

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