Abstract
The popularity of mobile terminals and the development of GPS positioning technology produce a mass of mobile trajectory data.Based on the data,a lot of location-based services(LBS)provide services for people.However,the increment of trajectory data brings many challenges:huge data volume,long query latency and data redundancy.Hence the trajectory compression plays an important role in providing better LBS.The purpose of trajectory compression is to minimize the size of trajectory as far as possible,which satisfies the threshold of similarity between compressed trajectory and original trajectory.This paper aims at illustrating useful trajectory compression methods,including line simplification methods,map-matching based compression methods and semantic compression methods,and introducing query processing of compressed trajectories and trajectory management systems.
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