首页|期刊导航|交通科学与技术(英文)|Discovering periodic frequent travel patterns of individual metro passengers considering different time granularities and station attributes

Discovering periodic frequent travel patterns of individual metro passengers considering different time granularities and station attributesOA

Discovering periodic frequent travel patterns of individual metro passengers considering different time granularities and station attributes

Zhibin Jiang;Yan Tang;Jinjing Gu;Zhiqing Zhang;Wei Liu

College of Transportation Engineering,Tongji University,Shanghai 201804,China||The Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China||Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety,Tongji University,Shanghai 201804,ChinaCollege of Transportation Engineering,Tongji University,Shanghai 201804,China||The Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China||Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety,Tongji University,Shanghai 201804,ChinaSchool of Information Science and Engineering,Yunnan University,Kunming 650500,China||The Key Laboratory of Internet of Things Technology and Application in Yunnan Province,Kunming 650500,ChinaTechnical Center of Shanghai Shentong Metro Group Co.,Ltd.,Shanghai 201103,ChinaTechnical Center of Shanghai Shentong Metro Group Co.,Ltd.,Shanghai 201103,China

Metro passenger travel patternSpatio-temporal characteristicsPeriodic frequent patternPFPTS-tree structureSmart card data

Metro passenger travel patternSpatio-temporal characteristicsPeriodic frequent patternPFPTS-tree structureSmart card data

《交通科学与技术(英文)》 2024 (2)

12-26,15

We greatly appreciate the very constructive comments made by the anonymous reviewers,who have helped significantly improve the quality and presentation of this paper.This work was supported by the National Natural Science Foundation of China(Grant No.52102382),the Shanghai Science and Technology Committee(Grant No.20DZ1203201),the Fundamental Research Funds for the Central Universities(2022-5-YB-04),and the Shanghai Shentong Metro Group Co.,Ltd.(Grant Nos.JS-KY21R005-1-WT-21064 and JS-KY21R005-2).The authors are grateful to these funding agencies.All authors approved the version of the manuscript to be published.

10.1016/j.ijtst.2023.03.003

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