People Flow Project

1.3 Statistics, Machine Learning, Data Assimilation, Algorithms, Mathematical Foundation, Data Mining
1.4 Visualization, Visual Analytics
1.5 Data Sharing, Data Co-Creation (Search, Data Linkage, Data Authoring. Meta-data Creating)
2.4 Smart City (Transportation, Town Planning, Living Environment, Crime Prevention)
2.5 Geospatial Information (Remote Sensing, People Flow)
2.7 Disaster Prevention, Reconstruction (Earthquake, Tsunami, Volcano, Meteorology, Flood, Natural Disaster)
2.15 Humanities（Religion, Literature, Linguistics, History, Archeology, Cultural Anthropology, Geography, Area Studies, Tourism, Museology, Art, etc)

Yoshihide Sekimoto

Center for Spatial Information Science

Professor Project Professor, Institute of Industrial Science

The People Flow Project (PFLOW) provides an overview of data process technology, data quality, and its common infrastructure for people flow on a large scale. Through this platform, a spatio-temporal data processing service is provided to all researchers.

Visualization of PFLOW data using Person Trip survey data (2008 Tokyo Metropolitan area)
People Flow Project, University of Tokyo

Population distribution in Yangon, Myanmar based on smartphone locational data (Analysis data from 17:00–19:00, 2014)
Sekimoto Laboratory, University of Tokyo

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, and Yasunobu Shimazaki, PFLOW: Reconstruction of people flow recycling large-scale social survey data, IEEE Pervasive Computing, Vol.10, No.4, pp.27–35, 2011.