Apply ensemble empirical mode decomposition to discover time variants of metro station passenger flow

Mu-Chen Chen, Long Sheng Chen, Yu Wei

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper applies both Empirical Mode Decomposition (EmD) and Ensemble Empirical Mode Decomposition (EEMD) to extract the EMD and EEMD components from a data set of passenger flows of a station in the metro system, and illustrates the time variants of short-term passenger flow for this data sets. The results indicate that the extracted meaningful EEMD components reveal a more unique pattern than the extracted meaningful EMD components. The patterns of these EEMD components of passenger flow in the metro system are more specific and can be explained more easily for management purposes.

原文English
主出版物標題2017 4th International Conference on Industrial Engineering and Applications, ICIEA 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面239-243
頁數5
ISBN(電子)9781509067749
DOIs
出版狀態Published - 5 六月 2017
事件4th International Conference on Industrial Engineering and Applications, ICIEA 2017 - Nagoya, Japan
持續時間: 21 四月 201723 四月 2017

出版系列

名字2017 4th International Conference on Industrial Engineering and Applications, ICIEA 2017

Conference

Conference4th International Conference on Industrial Engineering and Applications, ICIEA 2017
國家/地區Japan
城市Nagoya
期間21/04/1723/04/17

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