W. M. Luo, H. Y. Tan, L. Chen, and M. N. Lionel, Finding time period-based most frequent path in big trajectory data, Proceedings of the 2013 international conference on Management of data, SIGMOD '13, pp.713-724, 2013.
DOI : 10.1145/2463676.2465287

A. J. Lee, Y. A. Chen, and W. C. Ip, Mining frequent trajectory patterns in spatial???temporal databases, Information Sciences, vol.179, issue.13, pp.2218-2231, 2009.
DOI : 10.1016/j.ins.2009.02.016

Z. Kai, Z. Yu, J. Y. Nicholas, and S. Shuo, On discovery of gathering patterns from trajectories, IEEE 29th International Conference on Data Engineering, pp.242-253, 2013.

Z. Li, D. Bolin, J. Han, and K. Roland, Swarm, Journal Proceedings of the VLDB Endowment VLDB Endowment Home page archive, pp.723-734, 2010.
DOI : 10.14778/1920841.1920934
URL : https://hal.archives-ouvertes.fr/hal-00513021

M. Y. Dou, T. K. He, H. Z. Yin, X. F. Zhou, Z. Y. Chen et al., Predicting Passengers in Public Transportation Using Smart Card Data, Databases Theory and Applications: 26th Australasian Database Conference, pp.28-40, 2015.
DOI : 10.1007/978-3-319-19548-3_3

Z. Y. Cui and Y. Long, Perspectives on Stability and Mobility of Passenger's Travel Behavior through Smart Card Data, UrbComp in conjunction with ACM SIGKDD, 2015.
DOI : 10.1061/9780784413623.128

M. K. Le, A. B. Edward, and C. , Passenger Segmentation Using Smart Card Data, IEEE Transactions on intelligent transportation systems, pp.1537-1548, 2015.

J. Zhang, X. Yu, C. Tian, F. Zhang, L. Tu et al., Analyzing passenger density for public bus: Inference of crowdedness and evaluation of scheduling choices, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014.
DOI : 10.1109/ITSC.2014.6958000

X. Q. Zuo, C. Chen, W. Tan, and M. C. Zhou, Vehicle Scheduling of an Urban Bus Line via an Improved Multiobjective Genetic Algorithm, IEEE Transactions on Intelligent Transportation Systems, pp.1030-1041, 2015.
DOI : 10.1109/TITS.2014.2352599

B. Favyen, Y. Huang, X. Xie, and J. W. Powell, A greener Transportation Mode: Flexible Routes Discovery from GPS Trajectory Data, GIS '11 Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp.405-408, 2011.