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基于时间的关键字路网路径规划

Time-based keyword road network path planning
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摘要 为了便于道路网距离的计算、对象文本信息和时间信息的组织和快速获取,改进G-Tree,在索引结构上增加时间戳和倒排序列相关信息,称包含时间戳和倒排序列相关信息的G-Tree为IGT-Tree.并基于构建的IGT-Tree设计了两种推荐算法:一种是基于时间的目标点查询算法,另一种是在目标点查询算法基础上的路径推荐算法.最后,在基于时间的关键字路网通过实验对比G-Tree的算法验证了所提算法的高效性. In order to facilitate the calculation of road network distance,the organization and rapid acquisition of object text information and time information,improve G-Tree to add timestamp and inverted sequence related information to the index structure,and call G-Tree containing timestamp and inverted sequence related information as IGT-Tree,two recommendation algorithms are designed,one is a time-based target point query algorithm,and the other is a path recommendation algorithm based on the target point query algorithm.Finally,the efficiency of the proposed algorithm is verified by comparing the G-Tree algorithm in the time-based keyword road network.
作者 卢航 李艳红 黄金亮 LU Hang;LI Yanhong;HUANG Jinliang(College of Computer Science,South-Central Minzu University,Wuhan 430074,China)
出处 《中南民族大学学报(自然科学版)》 CAS 2024年第2期201-208,共8页 Journal of South-Central University for Nationalities:Natural Science Edition
基金 国家自然科学基金资助项目(61309002) 湖北省自然科学基金资助项目(2017CFB135) 中央高校基本科研业务费专项资金资助项目(CZY23019)。
关键词 道路网络 时空数据库 关键词搜索 路径规划 索引 road network spatiotemporal database keyword search path planning index
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