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Issue No.04 - October-December (2011 vol.10)
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. 4, pp. 27-35, October-December 2011, doi:10.1109/MPRV.2011.43
REFERENCES
1. A. Nakamura et al., "Introduction of JICA Urban Transportation Development Survey Database," Traffic Eng. (in Japanese), vol. 39, 2004, pp. 39–43.
2. Calif. Dept. of Transportation, 2001–2002 Calif. Statewide Household Travel Survey—Final Report, 2002; www.dot.ca.gov/hq/tsip/tab/documents/travelsurveys 2000_Household_Survey.pdf.
3. UK Dept. for Transportation, The Use of GPS to Improve Travel Data, 2003; www.dft.gov.uk/rmdproject.asp?intProjectID=10883 .
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