Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/138327
|Análisis y predicción de movilidad a partir del tráfico de dispositivos móviles
|Gallego Sacristán, Álvaro
Monzon Baeza, Victor
Crespo García, David
|This Master's thesis uses a set of mobile traffic location data collected from GPRS antennas. The data will be based on different geographical locations within a city with high tourist incidence. In order to reduce the large volume of records obtained, specific time periods will be analyzed. Once structured and taking into account the latitude and longitude coordinates and the time slot, different data analysis techniques are applied on a programming language to see the areas with greater concurrence. This analyzed information is represented geographically and heat maps are created. Subsequently, Machine Learning technology is used to predict the influx of people according to the time slot. The main objective is to analyze the progressive increase in the influx of people caused by the decrease of COVID restrictions in a tourist location and to extract relevant information for the field of Smart Cities. For example, to reinforce means of transport or services.
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|Bachelor thesis, research projects, etc.
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