A Group Member Search Method Based on Incremental Trajectories Data

Searching group members in real time based on trajectory data is one of important researches in group mobility patterns analysis. Based on the incremental trajectory data, this paper proposed a dynamic analysis method of trajectory data on the basis of motion attributes similarity such as position, speed, direction, acceleration, in which the members of the same group can be quickly searched in real time. Using time window and dynamic refreshing strategy of similarity, this method not only ensures the algorithm efficiency, but also takes into account the impact of historical trajectory data on finding group members at the same time. Combined with the experiments in specific application, the sensitivity analysis of the main parameters was given.