Forecasting of Short-Term Metro Ridership with Support Vector Machine Online Model

Forecasting of Short-Term Metro Ridership with Support Vector Machine Online Model

Forecasting for short-term ridership is the foundation of metro operation and management. A prediction model is necessary to seize the weekly periodicity and nonlinearity characteristics of short-term ridership in real-time. First, this research captures the inherent periodicity of ridership via sea...

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Bibliographic Details
Main Authors:	Xuemei Wang, Ning Zhang, Yunlong Zhang, Zhuangbin Shi
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2018-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2018/3189238

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