Improving human mobility identification with trajectory augmentation

Author:

Zhou FanORCID,Yin Ruiyang,Trajcevski Goce,Zhang Kunpeng,Wu Jin,Khokhar Ashfaq

Funder

National Natural Science Foundation of China

National Science Foundation

Office of Naval Research

HERE

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development,Information Systems

Reference59 articles.

1. Alharbi B, Qahtan A, Zhang X (2016) Minimizing user involvement for learning human mobility patterns from location traces. In: Proceedings of the AAAI Conference on Artificial Intelligence

2. Arjovsky M, Chintala S, Bottou L (2017) Wasserstein generative adversarial networks. In: International conference on machine learning (ICML)

3. Bao J, He T, Ruan S, Li Y, Zheng Y (2017) Planning bike lanes based on sharing-bikes’ trajectories. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)

4. Barthélemy M (2011) Spatial networks. Physics Reports

5. Bashir FI, Khokhar AA, Schonfeld D (2007) Object trajectory-based activity classification and recognition using hidden markov models. IEEE Trans Image Process 16(7):1912–1919

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