Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit
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DOI: 10.1109/tits.2020.3000761
Abstract: Short-term passenger flow forecasting is an essential component in urban rail transit operation. Emerging deep learning models provide good insight into improving prediction precision. Therefore, we propose a deep learning architecture combining the residual network… read more here.
Keywords: term; term passenger; flow forecasting; short term ... See more keywords