Synthetic People Flow: Privacy-Preserving Mobility Modeling from Large-Scale Location Data in Urban Areas.
N. Tamura, K. Urano, S. Aoki, T. Yonezawa, and N. Kawaguchi. MobiQuitous, volume 419 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 553-567. Springer, (2021)
@inproceedings{conf/mobiquitous/TamuraUAYK21,
added-at = {2022-02-24T00:00:00.000+0100},
author = {Tamura, Naoki and Urano, Kenta and Aoki, Shunsuke and Yonezawa, Takuro and Kawaguchi, Nobuo},
biburl = {https://www.bibsonomy.org/bibtex/23eec7599257f5b2dc8142507b8b09c4c/dblp},
booktitle = {MobiQuitous},
crossref = {conf/mobiquitous/2021},
editor = {Hara, Takahiro and Yamaguchi, Hirozumi},
ee = {https://doi.org/10.1007/978-3-030-94822-1_36},
interhash = {19813f033f740437130e2d4fe6d1d747},
intrahash = {3eec7599257f5b2dc8142507b8b09c4c},
isbn = {978-3-030-94822-1},
keywords = {dblp},
pages = {553-567},
publisher = {Springer},
series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
timestamp = {2024-04-09T10:19:07.000+0200},
title = {Synthetic People Flow: Privacy-Preserving Mobility Modeling from Large-Scale Location Data in Urban Areas.},
url = {http://dblp.uni-trier.de/db/conf/mobiquitous/mobiquitous2021.html#TamuraUAYK21},
volume = 419,
year = 2021
}