Discovering Heterogeneous Subsequences for Trajectory Classification

However these works are limited to only consider three dimension, as space, time, and semantics. Ferrero in [2] introduced the concept of Multiple Aspect Trajectory Analysis, that consists of analyzing trajectory data by integrating other movement aspects to further enrich trajectory data, such as more information about the visited places, the transportation modes, the weather conditions, and the social interactions. The proposal in [2] is that time has come to integrate all relevant information about movement in trajectories and explore trajectory analysis over several layers of information. An example of this new kind of trajectory is shown in Figure 1.