Paper Info
Title
Large scale movement analysis from WiFi based location data
Abstract
Understanding and modeling the way humans move in urban contexts is beneficial for many applications. The recent advances on positioning technologies, namely those based on the ubiquity of wireless networks, is facilitating the observation of people for human motion analysis. In this paper we present the result of a large scale work conducted to study the human mobility in a University's campuses. The study was conducted along several months, using data collected from thousands of users that freely moved inside the numerous buildings existent in two University campuses and a few other buildings in the city center. A Wi-Fi infrastructure of more than 550 access points provides Internet access to the academic community. We tracked the user movements by logging the devices connected to each access point. Based on that data, an analysis process that highlights the relationships between space features and human motion has been developed. In this paper we introduce the concepts of “place connectivity” and “flow across a boundary” to model these relationships. Results show the mobility patterns detected, which are the attraction places along the day, and what places are more strongly connected. This paper also includes an analysis of the short and long term movements between places. With this study we extended our understanding of the life in the campus, enabling us to feel the campus “pulse”.
Year
DOI
Venue
2012
10.1109/IPIN.2012.6418885
Indoor Positioning and Indoor Navigation
Keywords
Field
DocType
Internet,mobility management (mobile radio),wireless LAN,wireless channels,Internet access,Wi-Fi infrastructure,WiFi based location data,academic community,access points,human mobility,human motion analysis,large scale movement analysis,place connectivity,positioning technology,university campuses,urban contexts,wireless networks,Human motion,WiFi networks,movement patterns,tracking
Movement analysis,Wireless network,Telecommunications,Human motion,Location data,Engineering,Wi-Fi array,Strongly connected component,Internet access,The Internet
Conference
ISSN
ISBN
Citations 
2162-7347
978-1-4673-1955-3
6
PageRank 
References 
Authors
0.52
7
2
Name
Order
Citations
PageRank
Filipe Meneses112311.66
Adriano Moreira223459.85