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

Internet

https://www.mdpi.com/2220-9964/12/1/25

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