Analysis of Spatiotemporal Inconsistencies of Trajectories with Planned and Reported Tasks.
Felipe P. da Silva, Renato Fileto · Brazilian Symposium on GeoInformatics · 2014
Trajectories automatically collected by sensors enable tracking moving objects that have to perform tasks in the geographic space. However, most existing methods that use such trajectories for analyzing moving objects behaviors do not use other relevant data sources. This paper proposes a method to detect and classify spatiotemporal inconsistencies of trajectories with both planned tasks and reported tasks. The classified spatiotemporal inconsistencies returned by the proposed method help to investigate possible misbehaviors of moving objects. This method has been implemented and evaluated with real data from a water supply company. It has helped to detect and investigate a variety of inconsistencies in these data.