A Classification Method for New Line Stations Based on the Mapping Relationship Between Subway Passenger Flow and Built Environment
Author:
Affiliation:
1. Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044
2. Beijing Jiaotong University,State Key Laboratory of Railway Traffic Control and Safety,Beijing,China,100044
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422563.pdf?arnumber=10422563
Reference19 articles.
1. DeepPF: A deep learning based architecture for metro passenger flow prediction
2. Study on the influence of new urban rail transit lines on passenger flow of existing network;Longjie;Intelligent Computer and Applications,2020
3. Urban rail transit network passenger OD flow prediction model with new line access;Qin;Urban Mass Transit,2021
4. Research on clustering method of metro stations based on POI-K-means;Yuan;Intelligent Computer and Applications,2022
5. Classification of urban rail transit transfer stations based on multifactorial clustering;Qing;Urban Rapid Rail Transit,2022
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