摘要
分析了车辆监控数据和应用的特点,设计了车辆监控的时空索引机制和车辆监控数据仓库。利用广东省重点车辆监控数据实现了车辆监控数据仓库,并与传统数据库管理方式的效率进行对比分析表明,设计的时空数据仓库能够满足海量车辆监控数据管理和分析的要求。
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.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2013年第1期78-81,共4页
Geomatics and Information Science of Wuhan University
基金
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)
关键词
时空立方体
数据仓库
车辆监控
双向链表
spatiotemporal cube
data warehouse
vehicle supervision
doubly linked list
