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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,spatiotemporal data analysis, pervasive computing, intelligent transport, spatial information, traffic behavior analysis, people flow, people trip data
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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