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PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data
October-December 2011 (vol. 10 no. 4)
pp. 27-35
Yoshihide Sekimoto, University of Tokyo
Ryosuke Shibasaki, University of Tokyo
Hiroshi Kanasugi, University of Tokyo
Tomotaka Usui, University of Tokyo

Understanding people flow on a macroscopic scale requires reconstructing it from various forms of existing fragmentary spatiotemporal data. This article illustrates a process for reconstructing such data using existing person-trip survey data.

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Index Terms:
pervasive computing, intelligent transport, spatial information, traffic behavior analysis, people flow, people trip data, spatiotemporal data analysis
Citation:
Yoshihide Sekimoto, Ryosuke Shibasaki, Hiroshi Kanasugi, Tomotaka Usui, Yasunobu Shimazaki, "PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data," IEEE Pervasive Computing, vol. 10, no. 4, pp. 27-35, Oct.-Dec. 2011, doi:10.1109/MPRV.2011.43
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