People Flow Project


- 2.6 Big Data Analysis Technologies
- 2.7 Open Data Infrastructure Technologies
- 3.5 Spatial Information (Remote Sensing, Environmental Monitoring, COVID-19 Countermeasures)
- 3.7 Data Applications
- 3.8 Smart City, City Operating Systems
Yoshihide Sekimoto
Center for Spatial Information Science
Professor Institute of Industrial Science Project Professor
The People Flow Project (PFLOW) overviews data process technology, data quality, and its common infrastructure for people flow on a large scale. It provides a spatio-temporal data processing service for all researchers through our platform.
Related links
Related publications
- Lwin, K.K., Yoshihide Sekimoto, and Takeru Takeuchi: Estimation of Hourly Link Population and Flow Directions from Mobile CDR. ISPRS Int. J. Geo-Inf., 7, 449, 2018.
- Takehiro Kashiyama, Yanbo Pang, and Yoshihide Sekimoto, Open PFLOW: Creation and evaluation of an open dataset for typical people mass movement in urban areas, Transportation Research Part C., Elsevier, Vol. 85 , pp.249-267, 2017.
- Yoshihide Sekimoto, Ryosuke Shibasaki, Hiroshi Kanasugi and Tomotaka Usui, Yasunobu Shimazaki, PFLOW: Reconstruction of people flow recycling large-scale social survey data, IEEE Pervasive Computing, Vol.10, No.4, pp.27-35, 2011.
Related patents
Patent number 2017-6077349
Patent number 2017-6140490
Patent number 2017-6140490
SDGs
Contact
- People Flow Project Office
- Email: pflow[at]csis.u-tokyo.ac.jp
※[at]=@