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Estimation Method of Urban Rail Transit Passenger Route Choices Based on Multi-source Data
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Guo ZHU1, Lanlan ZHANG1, Jiajun LIU2, Haofan YANG2, Lichao YIN2, Ning ZHANG2, Hengwen ZHANG3
Urban Rapid Rail Transit | 2025, 38(1) : 99 - 105
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Urban Rapid Rail Transit | 2025, 38(1): 99-105
• Academic Discussion •
Estimation Method of Urban Rail Transit Passenger Route Choices Based on Multi-source Data
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Guo ZHU1, Lanlan ZHANG1, Jiajun LIU2, Haofan YANG2, Lichao YIN2, Ning ZHANG2, Hengwen ZHANG3
Affiliations
  • 1 Nanjing Panda Information Industry Co., Ltd. Nanjing 210008
  • 2 ITS Rail Transit Research Institute Southeast University Nanjing 210018
  • 3 CRRC P&C Institute Co., Ltd. Nanjing 211800
doi: 10.3969/j.issn.1672-6073.2025.01.013
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The network operation of urban rail transit has introduced diversity in passenger route choices. It is difficult to accurately determine passengers' network route choices based on existing Automatic Fare Collection (AFC) transaction data and probabilistic inference methods. This difficultyaffects tasks such as rail transit network passenger flow allocation and ticket clearing. This study utilizes network station information to construct an urban rail topology network. The proposed method searches for feasible path sets for OriginDestination (OD) pairs and uses multisource data, including AFC transaction data, mobile signaling data, and train schedule data, to build a nonlinear optimization model to infer passengers' travel route choices. Experiments based on the Nanjing Metro network show that the model is effective and robust. This study can provide guidance for urban rail transit operations and ticket clearing.

urban rail transit network  /  automatic fare collection system  /  multi-source data  /  travel route choice  /  nonlinear optimization
Guo ZHU, Lanlan ZHANG, Jiajun LIU, Haofan YANG, Lichao YIN, Ning ZHANG, Hengwen ZHANG. Estimation Method of Urban Rail Transit Passenger Route Choices Based on Multi-source Data[J]. Urban Rapid Rail Transit, 2025 , 38 (1) : 99 -105 . DOI: 10.3969/j.issn.1672-6073.2025.01.013
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Year 2025 volume 38 Issue 1
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Article Info
doi: 10.3969/j.issn.1672-6073.2025.01.013
  • Receive Date：2024-03-02
  • Online Date：2025-07-09
Article Data
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History
  • Received：2024-03-02
  • Revised：2024-10-16
Funding
Affiliations
    1 Nanjing Panda Information Industry Co., Ltd. Nanjing 210008
    2 ITS Rail Transit Research Institute Southeast University Nanjing 210018
    3 CRRC P&C Institute Co., Ltd. Nanjing 211800
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