Mining trajectories for spatio-temporal analytics

Abstract

Mining high resolution trajectories from moving vehicles can provide insightful analytics and enable location based decision making. In this paper, we introduce a trajectory mining prototype system to generate the trajectory heat map at aggregated level for the online spatial-temporal analytics. The proposed method is scalable and efficient since we develop a mechanism using a small subset of trajectory points to capture all trajectory patterns. We experimentally verified the applicability and scalability of this system with large scale real world dataset. © 2012 IEEE.