Learning spatial-temporal dynamics and interactivity for short-term passenger flow prediction in urban rail transit

Accurate short-term passenger flow prediction in urban rail transit is critical in ensuring the stable operation of urban rail systems. However, accurate passenger flow prediction still faces challenges, including modeling the dynamics of passenger flow data in spatial and temporal dimensions and ca...

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Veröffentlicht in:Applied intelligence (Dordrecht, Netherlands) Netherlands), 2023-08, Vol.53 (16), p.19785-19806
Hauptverfasser: Wu, Jinxin, Li, Xianwang, He, Deqiang, Li, Qin, Xiang, Weibin
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Sprache:eng
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