Trajectory Stop Move Detection

Many spatio-temporal trajectories are recorded without stop/move information and due to error and GPS noisiness it is difficult to infer which entries are stops and which are moves. However, this stop/move information is highly useful in semantic trajectory data mining scenarios where the user may wish to infer the places visited by a tracked entity. Yet, if stops cannot be determined neither can place visitation.

Fortunately, TrajSuite supports several stop/move detection algorithms for spatio-temporal trajectories. A modified SMoT (called GB-SMoT), CB-SMoT (clustering-based), and POSMIT (probability-based).

An illustratation of POSMIT result in TrajSuite is shown below:

This can be found by going Pre-processing >> Find Stops/Moves >> POSMIT