CoMobile: Real-time human mobility modeling at urban scale using multi-view learning

Desheng Zhang, Juanjuan Zhao, Fan Zhang, Tian He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

Real-time human mobility modeling is essential to various urban applications. To model such human mobility, numerous data-driven techniques have been proposed. However, existing techniques are mostly driven by data from a single view, e.g., a transportation view or a cellphone view, which leads to over-fitting of these single-view models. To address this issue, we propose a human mobility modeling technique based on a generic multi-view learning framework called coMobile. In coMobile, we first improve the performance of single-view models based on tensor decomposition with correlated contexts, and then we integrate these improved single-view models together for multi-view learning to iteratively obtain mutually-reinforced knowledge for real-time human mobility at urban scale. We implement coMobile based on an extremely large dataset in the Chinese city Shenzhen, including data about taxi, bus and subway passengers along with cellphone users, capturing more than 27 thousand vehicles and 10 million urban residents. The evaluation results show that our approach outperforms a single-view model by 51% on average.

Original languageEnglish (US)
Title of host publication23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015
EditorsYan Huang, Mohamed Ali, Jagan Sankaranarayanan, Matthias Renz, Michael Gertz
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450339674
DOIs
StatePublished - Nov 3 2015
Event23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015 - Seattle, United States
Duration: Nov 3 2015Nov 6 2015

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Volume03-06-November-2015

Other

Other23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015
CountryUnited States
CitySeattle
Period11/3/1511/6/15

Keywords

  • Human mobility
  • Model integration

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    Zhang, D., Zhao, J., Zhang, F., & He, T. (2015). CoMobile: Real-time human mobility modeling at urban scale using multi-view learning. In Y. Huang, M. Ali, J. Sankaranarayanan, M. Renz, & M. Gertz (Eds.), 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015 [a40] (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems; Vol. 03-06-November-2015). Association for Computing Machinery. https://doi.org/10.1145/2820783.2820821