Mining motif periodic frequent travel patterns of individual metro passengers considering uncertain disturbances  

作　　者：Yan Tang Zhibin Jiang Xiaolei Zou Xinkuan Liu Qi Zhang Shenmeihui Liao 

机构地区：[1]College of Transportation Engineering,Tongji University,Shanghai 201804,China [2]Key Laboratory of Road and Traffic Engineering Ministry of Education,Tongji University,Shanghai 201804,China [3]Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety,Tongji University,Shanghai 201804,China [4]Technical Center of Shanghai Shentong Metro Group Co.,Ltd.,Shanghai 201103,China

出　　处：《International Journal of Transportation Science and Technology》2024年第3期102-121,共20页交通科学与技术(英文)

基　　金：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).

摘　　要：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 factors(severe weather,traffic accident,etc.)may interfere with discovering original and accurate periodic travel patterns.This paper pro-poses a novel type of travel pattern called motif periodic frequent pattern(MPFP),which captures the periodicity of network temporal motifs of individual metro passengers with higher-order spatio-temporal characteristics considering,uncertain disturbances.We also propose a new complete mining algorithm MPFP-growth to extract MPFP from smart card data(SCD),and apply the real long-time-span experimental data from a large-scale metro system is applied.Results show that frequent-travel metro passengers usually have some typical MPFPs with the temporal periodic characteristic of“week”.Only the top 10 types of all 4624 types account for about 95%of all motifs and the top 5 types constitute about 90%,and the MPFP of the top 3 types of motifs account for nearly 80%of all periodic patterns,in which Mono-MPFP and 2-MPFP are the main ones.The relatively stable time range of MPFP is three months,and the threshold for the optimal uncertain disturbance factor should be set at 5%.Additionally,several interesting typical MPFPs of individual metro commuting passengers and their proportions are introduced to further understand the multifarious variants of MPFP.

关 键 词：Metro passenger travel pattern(MPFP) Periodic frequent pattern Temporal motif Smart card data(SCD)mining 

分 类 号：O17[理学—数学]