M-Atlas and DMQL gives the possibility of mixing the analyses discovering more useful and detailed knowledge from the trajectory data. An example is to classify the trajectories into systematic or occasional looking at the personal mobility of each user and then use this classification to evaluate the systematic behavior impact over the access path in a city.
Image:
Galleria: