DSTTMOD: A future trajectory based moving objects database

In this paper, a new moving objects database model - Discrete Spatio-Temporal Trajectory Based Moving Objects Database (DSTTMOD) model, is put forward. Trajectories are used to represent dynamic attributes of moving objects, including the past, current, and future location information. Moving objects can submit moving plans of different length according to their moving patterns. Moreover, they can divide the whole moving plan into multiple sections, and submit each section only when it is about to be used. Different moving objects can set up different threshold to trigger location updates. When a location update occurs to a moving object, not only its future trajectory is updated, but also the corresponding index records are adjusted. The model can support three kinds of queries (point queries, range queries, and K-nearest neighbor (KNN) queries) for location information in not only the near future, but also the far future. In order to evaluate the performance of the DSTTMOD model, a prototype system is developed and a series of experiments are conducted which show promising performance.