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Dynamic and multigraph fusion spatio-temporal graph convolution network for short-term forecasting of urban rail transit passenger flow.

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Bibliographic Details
Title: Dynamic and multigraph fusion spatio-temporal graph convolution network for short-term forecasting of urban rail transit passenger flow.
Authors: Xie, Yuchen1 (AUTHOR), Yang, Jing1 (AUTHOR), Zhang, Hongliang2,3 (AUTHOR) hlzhang@bjtu.edu.cn, Hou, Yuqing1 (AUTHOR), Li, Zhihong1 (AUTHOR)
Source: Journal of Intelligent Transportation Systems. Jul2026, Vol. 30 Issue 4, p924-939. 16p.
Database: Business Source Ultimate
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ISSN:15472450
DOI:10.1080/15472450.2025.2499584