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- W2783256469 abstract "Nowadays more and more people in the big city rely on public transportations while they go to work or school. MRT (Mass Rapid Transit) is one of the most modern transportations in Taipei. It is a great traffic tool to relieve the pressure of rush hours. According to the statistics, each day there will be over one million of passengers taking the MRT in Taipei. In this paper, we will be predicting MRT passenger flow with random forest, by using different factors collected from the Taipei Main station as input for training. The result shows that some of the influenced factors are important to affect the prediction of the passenger flow." @default.
- W2783256469 created "2018-01-26" @default.
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- W2783256469 date "2017-11-01" @default.
- W2783256469 modified "2023-09-27" @default.
- W2783256469 title "Predicting passenger flow using different influence factors for Taipei MRT system" @default.
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- W2783256469 doi "https://doi.org/10.1109/icawst.2017.8256497" @default.
- W2783256469 hasPublicationYear "2017" @default.
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