Synthetic People Flow: Privacy-Preserving Mobility Modeling from Large-Scale Location Data in Urban Areas

Naoki Tamura, Kenta Urano, Shunsuke Aoki, Takuro Yonezawa, Nobuo Kawaguchi. Synthetic People Flow: Privacy-Preserving Mobility Modeling from Large-Scale Location Data in Urban Areas. In Takahiro Hara, Hirozumi Yamaguchi, editors, Mobile and Ubiquitous Systems: Computing, Networking and Services - 18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings. Volume 419 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 553-567, Springer, 2021. [doi]

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