Traffic in urban environments vary significantly depending on the areas of the city and the
time of day. Nowadays, thanks to the large number of GPS devices that are integrated in all
kinds of devices, it is possible to make a quantitative analysis of traffic. This contribution
presents an application developed to analyse this information in a simple way and with a
visual representation. One of its main advantages is that it is adaptable to any city in the
world, as its internal algorithms adapt to the available data are presenting and adjusting it to
the traffic through the city. This is done by extracting information directly from the data
provided by GPS devices moving around the city. In addition, an analysis of the execution
times of all application processes is presented to determine which parts involve a higher
execution cost and determine the overall scalability of the application.
