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Mining motif periodic frequent travel patterns of individual metro passengers considering uncertain disturbances
《International Journal of Transportation Science and Technology》2024年第3期102-121,共20页Yan Tang Zhibin Jiang Xiaolei Zou Xinkuan Liu Qi Zhang Shenmeihui Liao 
supported by the National Natural Science Foundation of China(No.52372332);the Fundamental Research Funds for the Central Universities of China(No.2022-5-YB-04);the Shanghai Shentong Metro Group Co.,Ltd.(Nos.JSKY21R005-1-WT-21064,and JS-KY22R033-2).
Periodic pattern mining is of great significance for understanding passenger travel behav-ior,but the previous works mainly focused on the trajectory data and the dimension of the spot/point.Besides,many uncertain fac...
关键词：Metro passenger travel pattern(MPFP) Periodic frequent pattern Temporal motif Smart card data(SCD)mining 
Discovering periodic frequent travel patterns of individual metro passengers considering different time granularities and station attributes
《International Journal of Transportation Science and Technology》2024年第2期12-26,共15页Zhibin Jiang Yan Tang Jinjing Gu Zhiqing Zhang Wei Liu 
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);the Shanghai Shentong Metro Group Co.,Ltd.(Grant Nos.JSKY21R005-1-WT-21064 and JS-KY21R005-2).
Periodic frequent pattern discovery is a non-trivial task to discover frequent patterns based on user interests using a periodicity measure.Although conventional algorithms for periodic frequent pattern detection have...
关键词：Metro passenger travel pattern Spatio-temporal characteristics Periodic frequent pattern PFPTS-tree structure Smart card data 
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