  In TCEs (Temporary Crowded Events), for example, music festivals, users are
faced with problems accessing the Internet. TCEs are limited time events with a
high concentration of people moving within the event enclosure while accessing
the Internet. Unlike other events where the user locations are constant and
known at the start (e.g. stadiums), the traffic generation and the user
movement in TCEs is variable and influenced by the dynamics of the event. The
movement of users can lead to overloads in APs (Access Point) in case they are
fixed. In order to minimize this phenomenon, new techniques have been explored
that resort to the adjustable positioning of APs integrated into UAVs (Unmanned
Aerial Vehicles). In these scenarios, the dynamic of the location of the APs
requires that tools of prediction of the users movements and, in turn, of the
sources of traffic, gain particular expression when being related to the
algorithms of positioning of the referred APs. In order to allow the
development and analysis of new network planning solutions for TCEs, it is
necessary to recreate these scenarios in simulation, which, in turn, requires a
detailed characterization of this kind of events. This article aims to
characterize and model the mobility and traffic generated by users in TCEs.
This characterization will enable the development of new statistical models of
traffic generation and user mobility in TCEs.
