PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data

被引：47
|
作者：
Sekimoto, Yoshihide [1 ]
Shibasaki, Ryosuke [1 ]
Kanasugi, Hiroshi [1 ]
Usui, Tomotaka [1 ]
Shimazaki, Yasunobu
机构：
[1] Univ Tokyo, Ctr Spatial Informat Sci, Tokyo 1138654, Japan
来源：
IEEE PERVASIVE COMPUTING | 2011年 / 10卷 / 04期
关键词：
Traffic control; Spatiotemporal phenomena; Intelligent transportation systems; Behavioral science; Urban areas; Cities and towns; Mobile radio mobility management; spatiotemporal data analysis; pervasive computing; intelligent transport; spatial information; traffic behavior analysis; people flow; people trip data; LOCATION;
D O I：
10.1109/MPRV.2011.43
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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. © 2011 IEEE.
引用
收藏
页码：27 / 35
页数：9
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