In this Thesis we approach a problem related with map generation. Automatically generated maps still have some room to improve in terms of precision or consistency. This is why we decided to study a method that could evaluate how good a map is in relation to the trajectories that were used in its generation. We will be using concepts based on topological persistence to study how well does a map represent those tracks. We will establish that a part of the map and a track are related if they are closer than a certain radius whose value we will be modifying. We will research how the map and the trajectories interact as we vary that radius, and use that information to assign a score to local parts of the map. We will also offer a tool that implements the suggested method, and that also shows its results graphically, making it possible to easily estimate the results of our approach and facilitating us new possible ideas to consider in order to deepen in this investigation.