Activity-based Mobility Profiling
Author:
Affiliation:
1. Indian Institute of Technology Kharagpur, Kharagpur, India
2. University of Zurich & University of Melbourne, Zurich, Switzerland
3. University of Melbourne, Melbourne, Australia
Publisher
ACM Press
Reference15 articles.
1. Yu Zheng. Trajectory data mining: an overview. ACM Transactions on Intelligent Systems and Technology (TIST), 6(3):29, 2015.
2. Yu Zheng, Lizhu Zhang, Xing Xie, and Wei-Ying Ma. Mining interesting locations and travel sequences from gps trajectories. In 18th International Conference on World Wide Web, pages 791--800. ACM, 2009.
3. Chaoming Song, Zehui Qu, Nicholas Blumm, and Albert-László Barabási. Limits of predictability in human mobility. Science, 327(5968):1018--1021, 2010.
4. Juanjuan Zhao, Qiang Qu, Fan Zhang, Chengzhong Xu, and Siyuan Liu. Spatiotemporal analysis of passenger travel patterns in massive smart card data. IEEE Transactions on Intelligent Transportation Systems, 2017.
5. Shreya Ghosh and Soumya K Ghosh. Modeling of human movement behavioral knowledge from gps traces for categorizing mobile users. In 26th International Conference on World Wide Web Companion, pages 51--58. International World Wide Web Conferences Steering Committee, 2017.
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