Predicting Home and Work Locations Using Public Transport Smart Card Data by Spectral Analysis
暂无分享,去创建一个
[1] Moni Naor,et al. Rank aggregation methods for the Web , 2001, WWW '01.
[2] Alexander Erath,et al. Activity identification and primary location modelling based on smart card payment data for public transport , 2012 .
[3] Ee-Peng Lim,et al. Analyzing feature trajectories for event detection , 2007, SIGIR.
[4] Nan Zou,et al. Estimating a Transit Passenger Trip Origin-Destination Matrix Using Automatic Fare Collection System , 2011, DASFAA Workshops.
[5] Christian Schneider,et al. Spatiotemporal Patterns of Urban Human Mobility , 2012, Journal of Statistical Physics.
[6] Peter White,et al. The Potential of Public Transport Smart Card Data , 2005 .
[7] Xianfeng Huang,et al. Identifying Spatial Structure of Urban Functional Centers Using Travel Survey Data: A Case Study of Singapore , 2013, COMP '13.
[8] Dietmar Bauer,et al. Inferring land use from mobile phone activity , 2012, UrbComp '12.
[9] H. Young,et al. A Consistent Extension of Condorcet’s Election Principle , 1978 .
[10] Roy Ka Wei. Time-Series Data Mining in Transportation: A Case Study on Singapore Public Train Commuter Travel Patterns , 2015 .
[11] Catherine Morency,et al. Smart card data use in public transit: A literature review , 2011 .
[12] Stefano Spaccapietra,et al. A Hybrid Model and Computing Platform for Spatio-semantic Trajectories , 2010, ESWC.
[13] Yue Wang,et al. Home and Work Place Prediction for Urban Planning Using Mobile Network Data , 2014, 2014 IEEE 15th International Conference on Mobile Data Management.
[14] Tin Seong Kam,et al. Time-Series Data Mining in Transportation: A Case Study on Singapore Public Train Commuter Travel Patterns , 2014 .