Complete trajectory reconstruction from sparse mobile phone data

Complete trajectory reconstruction from sparse mobile phone data

Abstract Mobile phone data are a popular source of positioning information in many recent studies that have largely improved our understanding of human mobility. These data consist of time-stamped and geo-referenced communication events recorded by network operators, on a per-subscriber basis. They...

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Bibliographic Details
Main Authors: Guangshuo Chen, Aline Carneiro Viana, Marco Fiore, Carlos Sarraute
Format: Article
Language:English
Published: SpringerOpen 2019-10-01
Series:EPJ Data Science
Subjects:
Human mobility
Mobile phone dataset
Data enrichment
Seamless trajectory reconstruction
Location predictability
Trajectory unicity
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-019-0206-8

Internet

http://link.springer.com/article/10.1140/epjds/s13688-019-0206-8

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