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《Geomatics and Information Science of Wuhan University》 2013-01
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A Grid-Time-indexed Cube Model for Spatiotemporal Data Warehouse of Vehicle Supervision

HU Jihua1 CHENG Zhifeng1 ZHAN Chengzhi1 TANG Wei1(1 Research Centre of Intelligent Transportation System,School of Engineering,Sun Yet-sen University, 135 East Waihuan Road,Guangzhou 510275,China) (2 Guangdong Provincial Key Laboratory of Intelligent Transportation System,135 West Xingang Road,Guangzhou 510006,China)  
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.
【Fund】: 国家自然科学基金资助项目(40971098);; 广东省2011年度安全生产专项资金资助项目(2011-118)
【CateGory Index】: TP311.13;U495
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