摘要
为了更好地提高城市交通导航时空数据查询效率,本文建立了城市交通导航数据模型,提出了一种城市交通导航时空索引—Urban Traffic Navigation R-tree,并在此基础上研究了基于临增兴趣点的城市交通导航时空数据查询方法,并通过实验证明该方法能较有效、准确地满足城市交通导航服务。
In order to enhance the query efficiency of urban traffic navigation spatio-temporal data, the paper presented an urban traffic navigation data model firstly, then it proposed a novel saptio-temporal index for the urban traffic network, which is called Urban Traffic Navigation R-tree. Finally, it put forward a spatio-tempora] data query method based on the temporary additional point of interest. The experimental result demonstrated the efficiency and accurac2~ of the proposed method, which could serve for the transportation navigation.
出处
《测绘科学》
CSCD
北大核心
2013年第6期133-136,共4页
Science of Surveying and Mapping
基金
国家自然科学基金委青年基金(41001216)
吉林建筑工程学院青年科技发展基金(J20111007)
关键词
临增兴趣点
城市交通
导航数据模型
移动车辆
时空数据查询
temporary additional point of interest
urban traffic navigation
navigation data model
mobile vehicle
spatio-tempo- ral data query