Forecasting Short-Term Passenger Flow of Subway Stations Based on the Temporal Pattern Attention Mechanism and the Long Short-Term Memory Network

Forecasting Short-Term Passenger Flow of Subway Stations Based on the Temporal Pattern Attention Mechanism and the Long Short-Term Memory Network

Rational use of urban underground space (UUS) and public transportation transfer underground can solve urban traffic problems. Accurate short-term prediction of passenger flow can ensure the efficient, safe, and comfortable operation of subway stations. However, complex and nonlinear interdependenci...

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Bibliographic Details
Main Authors:	Lingxiang Wei, Dongjun Guo, Zhilong Chen, Jincheng Yang, Tianliu Feng
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	ISPRS International Journal of Geo-Information
Subjects:	urban underground space (UUS) subway station short-term passenger flow forecast temporal pattern attention (TPA) long short-term memory network (LSTM)
Online Access:	https://www.mdpi.com/2220-9964/12/1/25

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