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Issue No. 04 - October-December (2011 vol. 10)
ISSN: 1536-1268
pp: 27-35
ABSTRACT
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.
INDEX TERMS
Traffic control, Spatiotemporal phenomena, Intelligent transportation systems, Behavioral science, Urban areas, Mobile radio mobility management
CITATION
"PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data", IEEE Pervasive Computing, vol. 10, no. , pp. 27-35, October-December 2011, doi:10.1109/MPRV.2011.43
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