A Grid-Time-indexed Cube Model for Spatiotemporal Data Warehouse of Vehicle Supervision

Immense amounts of spatiotemporal data generated by vehicle supervision can't be efficiently managed by ordinary databases,due mainly to long query response.This paper proposes a new approach called grid-time-indexed cube,which is a spatial grid indexed,adaptive cube-based and trajectory supported for spatiotemporal data warehouses.Through the extensive performance studies based on spatiotemporal data from main vehicle supervision system of Guangdong province,we observed that grid-time-indexed cube achieved higher query performance than ordinary data storage technologies,under various operational conditions,and it was easily applicable in practice and compatible with ordinary databases.