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A Review of Urban Computing for Mobile Phone Traces: Current Methods, Challenges and Opportunities by Shan Jiang; Gaston A. Fiore; Yingxiang Yang; Joseph Ferreira; Emilio Frazzoli; Marta C. González is a scholarly article available to read on EtoBox.

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In this work, we present three classes of methods to extract information from triangulated mobile phone signals, and describe applications with different goals in spatiotemporal analysis and urban modeling. Our first challenge is to relate extracted information from phone records (i.e., a set of time-stamped coordinates estimated from signal strengths) with destinations by each of the million anonymous users. By demonstrating a method that converts phone signals into small grid cell destinations, we present a framework that bridges triangulated mobile phone data with previously established findings obtained from data at more coarse-grained resolutions (such as at the cell tower or census tract levels). In particular, this method allows us to relate daily mobility networks, called motifs here, with trip chains extracted from travel diary surveys. Compared with existing travel demand models mainly relying on expensive and less-frequent travel survey data, this method represents an advantage for applying ubiquitous mobile phone data to urban and transportation modeling applications. Second, we present a method that takes advantage of the high spatial resolution of the triangulated pho

Author

Shan Jiang; Gaston A. Fiore; Yingxiang Yang; Joseph Ferreira; Emilio Frazzoli; Marta C. González

Publisher

ACM

Published

2013

Language

EN