MGeohash:Trajectory data index method based on historical data pre-partitioning

In recent years, the widespread use of mobile terminal equipment with positioning functions has generated a large-scale trajectory data set. It brings great challenges to the storage and query of trajectory data. Existing trajectory data indexing methods rarely consider the characteristics of uneven data distribution, a spatio-temporal index method based on historical data pre-partitioning is proposed which use the similarity of the trajectory data distribution in time and space, pre-partitioning the Geohash Code and designing the index storage model based on HBase. Compared with the HGrid and ST- Hash method, it effectively reduces the number of sub-queries during query, and improves the spatiotemporal query performance of trajectory data.