Short-term passenger flow prediction for urban rail systems: A deep learning approach utilizing multi-source big data

• Hongmeng Cui,

  Roles Conceptualization, Data curation, Methodology, Software, Writing – original draft

  Affiliation School of Systems Science, Beijing Jiaotong University, Beijing, China

  https://orcid.org/0009-0002-4277-9799

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• Bingfeng Si ,

  Roles Supervision, Writing – review & editing

  * E-mail: bfsi@bjtu.edu.cn

  Affiliation School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China

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• Dazhuang Chi ,

  Contributed equally to this work with: Dazhuang Chi, Yueqing Li

  Roles Data curation, Investigation, Project administration, Writing – original draft

  Affiliation School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian, Liaoning, China

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• Yueqing Li ,

  Contributed equally to this work with: Dazhuang Chi, Yueqing Li

  Roles Data curation, Investigation, Project administration, Software

  Affiliation School of Traffic and Transportation, Xi’an Railway Vocational and Technical Institute, Xi’an, Shaanxi, China

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• Ge Li ,

  Roles Data curation, Software, Validation, Visualization

  ¶‡ GL and YC also contributed equally to this work.

  Affiliation School of Systems Science, Beijing Jiaotong University, Beijing, China

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• Yuanmeng Chen

  Roles Data curation, Software, Validation, Visualization

  ¶‡ GL and YC also contributed equally to this work.

  Affiliation School of Systems Science, Beijing Jiaotong University, Beijing, China

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