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- W3043641781 abstract "Based on the real data collected from the bus IC card payment devices, first a time series plot on the daily passenger volume was obtained and then three kinds of time series models were proposed to do the prediction. The results show that the ARMA model with quadratic trend is the most suitable to the current data and performs the most effectively in the prediction." @default.
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- W3043641781 date "2020-07-17" @default.
- W3043641781 modified "2023-10-14" @default.
- W3043641781 title "Application of Time Series Method to the Passenger Flow Prediction in the Intelligent Bus Transportation System with Big Data" @default.
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- W3043641781 doi "https://doi.org/10.1007/978-981-15-4917-5_36" @default.
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