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.

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

Population distribution in Yangon, Myanmar based on smartphone locational data (Analysis data in 17:00~19:00, 2014 )
Sekimoto Laboratory, the 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, Yasunobu Shimazaki, PFLOW: Reconstruction of people flow recycling large-scale social survey data, IEEE Pervasive Computing, Vol.10, No.4, pp.27-35, 2011.