Citation: | YANG Fei, JIANG Haihang, YAO Zhenxing, LIU Haode. Evaluation of Activity Location Recognition Using Cellular Signaling Data[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 928-936. doi: 10.3969/j.issn.0258-2724.20200086 |
AHAS R, SILM S, JÄRV O, et al. Using mobile positioning data to model locations meaningful to users of mobile phones[J]. Journal of Urban Technology, 2010, 17(1): 3-27. doi: 10.1080/10630731003597306
|
ISAACMAN S, BECKER R, CÁCERES R, et al. Identifying important places in people’s lives from cellular network data[C]//International Conference on Pervasive Computing. Berlin, Heidelberg: Springer, 2011: 133-151.
|
WANG P, HUNTER T, BAYEN A M, et al. Understanding road usage patterns in urban areas[J]. Scientific Reports, 2012, 2: 1-6.
|
JÄRV O, AHAS R, WITLOX F. Understanding monthly variability in human activity spaces:a twelve-month study using mobile phone call detail records[J]. Transportation Research Part C:Emerging Technologies, 2014, 38: 122-135. doi: 10.1016/j.trc.2013.11.003
|
XU Y, SHAW S L, ZHAO Z, et al. Another tale of two cities:understanding human activity space using actively tracked cellphone location data[J]. Annals of the American Association of Geographers, 2016, 106(2): 489-502.
|
WANG Z, HE S Y, LEUNG Y. Applying mobile phone data to travel behaviour research:a literature review[J]. Travel Behaviour and Society, 2018, 11: 141-155. doi: 10.1016/j.tbs.2017.02.005
|
CALABRESE F, COLONNA M, LOVISOLO P, et al. Real-time urban monitoring using cell phones:a case study in Rome[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(1): 141-151. doi: 10.1109/TITS.2010.2074196
|
CALABRESE F, DIAO M, DI LORENZO G, et al. Understanding individual mobility patterns from urban sensing data:a mobile phone trace example[J]. Transportation Research Part C:Emerging Technologies, 2013, 26: 301-313. doi: 10.1016/j.trc.2012.09.009
|
JIANG S, FIORE G A, YANG Y, et al. A review of urban computing for mobile phone traces: Current methods, challenges and opportunities[C]//Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery, 2013: 1-9.
|
WANG F, CHEN C. On data processing required to derive mobility patterns from passively-generated mobile phone data[J]. Transportation Research Part C:Emerging Technologies, 2018, 87: 58-74. doi: 10.1016/j.trc.2017.12.003
|
HARIHARAN R, TOYAMA K. Project lachesis: parsing and modeling location histories[C]//Interna- tional Conference on Geographic Information Science. Berlin, Heidelberg: Springer, 2004: 106-124.
|
ALEXANDER L, JIANG S, MURGA M, et al. Origin-destination trips by purpose and time of day inferred from mobile phone data[J]. Transportation Research Part C:Emerging Technologies, 2015, 58: 240-250. doi: 10.1016/j.trc.2015.02.018
|
WIDHALM P, YANG Y, ULM M, et al. Discovering urban activity patterns in cell phone data[J]. Transportation, 2015, 42(4): 597-623. doi: 10.1007/s11116-015-9598-x
|
WANG M, CHEN C, MA J. Time-of-day dependence of location variability: application of passively-generated mobile phone dataset[C]//The 94th Annual Meeting of Transportation Research Board. Washington D. C.: [s.n.], 2015: 11-15.
|
LEE J K, HOU J C. Modeling steady-state and transient behaviors of user mobility: formulation, analysis, and application[C]//Proceedings of the 7th ACM International Symposium on Mobile ad Hoc Networking and Computing (MobiHoc). New York: Association for Computing Machinery, 2006: 85-96.
|
BAYIR M A, DEMIRBAS M, EAGLE N. Mobility profiler:a framework for discovering mobility profiles of cell phone users[J]. Pervasive and Mobile Computing, 2010, 6(4): 435-454. doi: 10.1016/j.pmcj.2010.01.003
|
SHAD S A, CHEN E. Cell oscillation resolution in mobility profile building[J]. International Journal of Computer Science Issues (IJCSI), 2012, 9(3): 205-213.
|
QI L, QIAO Y, ABDESSLEM F B, et al. Oscillation resolution for massive cell phone traffic data[C]// Proceedings of the 1st Workshop on Mobile Data. New York: Association for Computing Machinery, 2016: 25-30.
|
IOVAN C, OLTEANU-RAIMOND A M, COURONNÉ T, et al. Moving and calling: mobile phone data quality measurements and spatiotemporal uncertainty in human mobility studies[J]. Lecture Notes in Geoinformation and Cartography, 2013: 247-265.
|
DEMISSIE M G, DE ALMEIDA CORREIA G H, BENTO C. Intelligent road traffic status detection system through cellular networks handover information:an exploratory study[J]. Transportation Research Part C:Emerging Technologies, 2013, 32: 76-88. doi: 10.1016/j.trc.2013.03.010
|
WU W, WANG Y, GOMES J B, et al. Oscillation resolution for mobile phone cellular tower data to enable mobility modelling[C]// Proceedings of the 2014 IEEE 15th International Conference on Mobile Data Management. Washington D. C.: IEEE Computer Society, 2014, 1: 317-324.
|
CHEN C, MA J, SUSILO Y, et al. The promises of big data and small data for travel behavior (aka human mobility) analysis[J]. Transportation Research Part C:Emerging Technologies, 2016, 68: 285-299. doi: 10.1016/j.trc.2016.04.005
|
CHEN C, BIAN L, MA J. From traces to trajectories:How well can we guess activity locations from mobile phone traces?[J]. Transportation Research Part C:Emerging Technologies, 2014, 46: 326-337. doi: 10.1016/j.trc.2014.07.001
|