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Pffm-se: a passenger flow forecasting model for urban rail transit based on multimodal fusion of AFC and social media sentiment under special events

Published Online: 2025-02-19

Authors

Zhang, Dingkai
Funding

Funding for this research was provided by:

Humanities and Social Sciences Research Project of the Ministry of Education of China (20YJAZH130)

Department of Education of Zhejiang Province (Y202147441)

Ningbo Basic Public Welfare Technology Research Program (2023S147)
License Information

Text and Data Mining valid from 2025-02-19

Version of Record valid from 2025-02-19
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Article History

Accepted: 19 December 2024

First Online: 19 February 2025

Document is current