Uploaded on 2017-07-13 by Raul Alvarez Prieto

This is Real MAdrid Stadium in MAdrid (Spain). Some invisible info: 1. The route that people follow at half-time (going to buy some snacks, going to have a chat with a friend who is sitting in a differente part of the stadium, etc). This info can be used to find the best location for cafeterias, kiosks, aisles, etc. 2. The information of mobile data traffic generated by the supporters during the match, in spatial and temporal temrms. In this way mobile operators designers could increase the coverage in some areas and not in others etc. 3. The occupancy rate per match along a season. This could enable the municipality to plan the for security services, traffic and other support services in advance. If we are able to know in advance an estimation of people attending a match we can dimmension the services provided by the municipality (security, ambulances, etc), we could plan for changes in the trafic lights and road closures bedore the match, etc. Even better, if through a sensor network we could collect live data on people attending the match and their behaviour, we could balance the provision of services to different parts of the city, we could hire more stewards, we could prepare special offers for groups to attend the match, etc