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- W3089321035 abstract "With the rapid development of urban intelligent transportation system, the prediction short-term of traffic flow attracts more and more attention. As the lack of the characteristics of traffic flow and appropriate models, the accurate predction of the traffic flow are facing a big challenge. A short-term traffic flow prediction model based on extreme gradient rise is proposed in this paper. The experiment results reveal the superiority of the modle by comparing with the traditional prediction model." @default.
- W3089321035 created "2020-10-01" @default.
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- W3089321035 date "2020-08-01" @default.
- W3089321035 modified "2023-09-30" @default.
- W3089321035 title "Short-Term Highway Traffic Flow Forecasting Based on XGBoost" @default.
- W3089321035 cites W2802975867 @default.
- W3089321035 doi "https://doi.org/10.1109/iccse49874.2020.9201834" @default.
- W3089321035 hasPublicationYear "2020" @default.
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