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作品数：56被引量：72H指数：4
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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 
Comparative Analysis of Metro Passengers’Mobility Patterns and Jobs-housing Balance of Metropolitan
《Journal of Geodesy and Geoinformation Science》2024年第2期1-17,共17页HUANG Yiman ZHANG Anshu SU Yuezhu SHI Wenzhong 
National Key R&D Program of China(No.2019YFB2103102);Hong Kong Polytechnic University(No.CD06,P0042540)。
The advent of the big data era has provided many types of transportation datasets,such as metro smart card data,for studying residents’mobility and understanding how their mobility has been shaped and is shaping the ...
关键词：metro smart card data mobility patterns association rules jobs-housing balance 
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 
A Review of Lightweight Security and Privacy for Resource-Constrained IoT Devices
《Computers, Materials & Continua》2024年第1期31-63,共33页Sunil Kumar Dilip Kumar Ramraj Dangi Gaurav Choudhary Nicola Dragoni Ilsun You 
supported by project TRANSACT funded under H2020-EU.2.1.1.-INDUSTRIAL LEADERSHIP-Leadership in Enabling and Industrial Technologies-Information and Communication Technologies(Grant Agreement ID:101007260).
The widespread and growing interest in the Internet of Things(IoT)may be attributed to its usefulness in many different fields.Physical settings are probed for data,which is then transferred via linked networks.There ...
关键词：IOT a sensor device LIGHTWEIGHT CRYPTOGRAPHY block cipher smart card security and privacy 
Quantifying out-of-station waiting time in oversaturated urban metro systems被引量：2
《Communications in Transportation Research》2022年第1期13-23,共11页Kangli Zhu Zhanhong Cheng Jianjun Wu Fuya Yuan Lijun Sun 
supported by the National Natural Science Foundation of China(grant number 71890972/71890970,72171020);the Fonds de Recherche du Quebec-Societe et Culture(FRQSC)under the NSFC-FRQSC Research Program on Smart Cities and Big Data;the Canada Foundation for Innovation(CFI)John R.Evans Leaders Fund;the 111 Project(grant number B20071).
Metro systems in megacities such as Beijing,Shenzhen,and Guangzhou are under great passenger demand pressure.During peak hours,it is common to see oversaturated conditions(i.e.,passenger demand exceeds network capacit...
关键词：Metro waiting time Smart card data Public transport Crowd management Gaussian processes 
Exploring metro vibrancy and its relationship with built environment:a cross-city comparison using multi-source urban data被引量：1
《Geo-Spatial Information Science》2022年第2期182-196,共15页Wei Tu Tingting Zhu Chen Zhong Xiaohu Zhang Yang Xu Qingquan Li 
supported by the National Natural Science Foundation of China[grant numbers 42071360 and 71961137003];Natural Science Foundation of Guangdong Provinces[grant number 2019A1515011049];the ESRC under JPI Urban Europe/NSFC[grant number ES/T000287/1];the European Research Council(ERC)under the European Union’s Horizon 2020 research and innova-tion programme[grant number 949670];the Basic Research Program of Shenzhen Science and Technology Innovation Committee[JCYJ20180305125113883].
Recent urban transformations have led to critical reflections on the blighted urban infrastruc-tures and called for re-stimulating vital urban places.Especially,the metro has been recognized as the backbone infrastruc...
关键词：Urban vibrancy spatial-autocorrelation spatial lag model smart card data social media 
Machine identification method of subway service quality based on smart card data
《Transportation Safety and Environment》2022年第2期58-75,共18页Maosheng Li Ci Tu Pu Wang 
A new automatic evaluationmethod of subway service quality based onmetro smart card data is proposed suitable for three different levels:station pair,railway line and subway network,which has merits of overcoming the ...
关键词：Smart card data Travel time distribution K-means cluster analysis Subway service quality Kolmogorov-Smirnov test 
ActivityNET:Neural networks to predict public transport trip purposes from individual smart card data and POIs被引量：1
《Geo-Spatial Information Science》2021年第4期711-721,共11页Nilufer Sari Aslam Mohamed R.Ibrahim Tao Cheng Huanfa Chen Yang Zhang 
This work is part of the Consumer Data Research Centre project(ES/L011840/1);funded by the UK Economic and Social Research Council(grant number 1477365).
Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban mobility.Here,we propose a framework,ActivityNET,usin...
关键词：Trip purpose prediction smart card data POIs neural networks machine learning 
Measuring positive public transit accessibility using big transit data被引量：3
《Geo-Spatial Information Science》2021年第4期722-741,共20页Tong Zhang Wenyuan Zhang Zhenxuan He 
This work was supported by the National Natural Science Foundation of China[grant number 41871308];the National Key R&D Program of China(International Scientific&Technological Cooperation Program)[grant number 2019YFE0106500];the Fundamental Research Funds for the Central Universities.
Most of the current existing accessibility measures quantify the potential of reaching desirable opportunities across space and time.Nevertheless,these potential measurements only illus-trate the maximum possible acce...
关键词：Public transit positive accessibility smart card data SPATIO-TEMPORAL 
Anonymous Authentication Scheme Based on Smart Card and Biometrics in the Electronic Medical Environment
《Wuhan University Journal of Natural Sciences》2021年第2期183-190,共8页PU Guangning YIN Fengmei 
Supported by the Key Natural Science Foundation of Anhui Higher Education Institutions (KJ2017A857, KJ2019A0727)。
With the existing anonymous authentication schemes based on biometrics, the user and the server can create the same session key after mutual authentication. If the anonymous authentication scheme is applied in the ele...
关键词：AUTHENTICATION ANONYMITY key agreement smart card MULTI-SERVER 
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