文章基本信息

标题：Human Mobility Modelling Based on Dense Transit Areas Detection with Opportunistic Sensing
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作者：Fernando Terroso-Sáenz ; Mercedes Valdes-Vela ; Aurora González-Vidal 等
期刊名称：Mobile Information Systems
印刷版ISSN：1574-017X
出版年度：2016
卷号：2016
DOI：10.1155/2016/9178539
出版社：Hindawi Publishing Corporation
摘要：With the advent of smartphones, opportunistic mobile crowdsensing has become an instrumental approach to perceive large-scale urban dynamics. In this context, the present work presents a novel approach based on such a sensing paradigm to automatically identify and monitor the areas of a city comprising most of the human transit. Unlike previous approaches, the system performs such detection in real time at the same time the opportunistic sensing is carried out. Furthermore, a novel multilayered grill partitioning to represent such areas is stated. Finally, the proposal is evaluated by means of a real-world dataset.