Discovery of stop regions for understanding repeat travel behaviors of moving objects

Different from simplifying trajectories using turning points to keep their coarse shapes, this paper summarizes trajectories using stop points.We define a new concept of stay stability (i.e., reciprocal of speed) between any two GPS points to detect stop points on individual trajectories.We discover repeat travel behaviors by finding common sequences of stop regions where a certain number of objects visit with similar stop duration.The experiments on 20 labeled trajectories in Geolife demonstrated the semantic effect, accuracy and near linear efficiency of our method. GPS trajectory dataset with high sampling-rates is usually in large volume that challenges the processing efficiency. Most of the data points on trajectories are useless. This paper summarizes trajectories using stop points. We define a new concept of stay stability (i.e., time dividing distance or reciprocal of speed) between any two GPS points to detect stop points on individual trajectories. We propose a novel Mining Repeat Travel Behaviors Using Stop Regions (MRTBUSR) method. In MRTBUSR, a stop region is a popular region containing a certain number of close stop points that can be grouped into a cluster. We then retrieve common sequences of stop regions to denote repeat route patterns and further analyze the stop durations on a stop region to find repeat travel behaviors. The experiments on 20 labeled trajectories selected from GeoLife demonstrated the semantic effect, accuracy and near linear efficiency of our proposed method.