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Metro Station Passenger Volume Prediction Algorithm Based on Improved LSTNet Model

[Objective] To effectively address the pressure of inbound/outbound passenger volume on metro lines during peak hours, it is necessary to develop an accurate passenger volume prediction model to understand the spatiotemporal distribution patterns of metro station inbound/outbound volumes and enhance...

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Uloženo v:
Hlavní autoři: XU Ling, GUAN Jianbo, XU Xiwei, BAN Yong
Médium: Artigo
Jazyk:Chinês
Vydáno: Urban Mass Transit Magazine Press 2025-07-01
Edice:Chengshi guidao jiaotong yanjiu
Témata:
metro
station
passenger volume prediction
improved lstnet model
bi-lstm neural network
attention mechanism
On-line přístup:https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.20245803.html
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