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In recent years, there has been tremendous growth in the field of indoor and outdoor positioning sensors continuously producing huge volumes of trajectory data that has been used in many fields such as location-based services or location intelligence. Trajectory data is massively increased and semantically complicated, which poses a great challenge on spatio-temporal data indexing. This paper proposes a spatio-temporal data indexing method, named HBSTR-tree, which is a hybrid index structuredoi:10.3390/s140712990 pmid:25051028 pmcid:PMC4168421 fatcat:hzmty7jynzf4nnrnbhckpiyw6m