@mastersthesis{10359,

title = {Human Mobility Tracking through Passive WiFi - A case study of Madeira Island, Universidade da Madeira},

author = {Miguel Ribeiro and Nuno Nunes},

url = {http://hdl.handle.net/10400.13/1556},

year  = {2016},

date = {2016-07-01},

volume = {Master in Informatics Engineering},

address = {Funchal},

school = {University of Madeira},

abstract = {<p>In the busy city environment, it is increasingly important to analyze and understand peopletextquoterights patterns and behaviors revolving their commutes and times spent in specific parts of towns. A non-intrusive positioning system is essential to be able to make this kind of analysis, which can be taken into account in urban planning, tourist tracking or passer-by counters among many other applications. Wireless technologies have been used recently as a way to track objects and people movements usually with high precision on an indoor scale. This dissertation presents the development of a low cost tracking system based on non-intrusive passive Wi-Fi technology. Here we take advantage of the Wi-Fi devices carried by people to assess the passerby of locations, and map the devices to different locations in time. The project focused in the use of a Wi-Fi scanner to collect information about the passerbytextquoterights devices, to analyze the data in appropriate time intervals, and providing a way to visualize such information. The study occurred in Madeira Island over the course of 6 months, where 36 scanners were placed on strategic places of the island, in order to collect data from both locals and tourists. The data was processed regarding the location counts, the connections between locations, and events.</p>},

keywords = {},

pubstate = {published},

tppubtype = {mastersthesis}

}