移动对象轨迹Top-K查询研究综述  

A Summary of Research on Moving Objects Trajectory Top-K Queries

作　　者：周开来 冯鑫伟 孟庆磊 ZHOU Kailai;FENG Xinwei;MENG Qinglei(College of Software Engineering,Zhengzhou University of Light Industry,Zhengzhou 450001,China)

机构地区：[1]郑州轻工业大学软件学院,河南郑州450001

出　　处：《现代信息科技》2022年第23期77-81,共5页Modern Information Technology

摘　　要：随着基于位置服务应用的不断普及,实现移动对象轨迹实时查询成为当前时空数据库领域的研究热点,其中,移动对象轨迹的Top-K查询是面向轨迹大数据的一种快速查询方法。文章对移动对象轨迹查询方法及应用的研究现状进行全面梳理,从不同角度对Top-K查询优化算法进行归纳分析,对Top-K查询研究中存在的问题和未来研究方向进行总结和展望。With the growing popularity of location-based service applications,real-time query of moving object trajectories has become a research hotspot in the current spatio-temporal database field.Among them,Top-K query of moving object trajectories is a fast query method for trajectory big data.This paper comprehensively combs the research status of moving object trajectory query methods and applications,summarizes and analyzes the optimization algorithm of Top-K query from different perspectives,and summarizes and prospects the problems and future research directions in Top-K query research.

关 键 词：时空数据库 轨迹查询 TOP-K 大数据 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]