期刊文献+

一种基于关键点的轨迹-区域拓扑过程模型 被引量:1

A Topological Process Model of Trajectories-regions Based on Critical Points
下载PDF
导出
摘要 定位技术的广泛应用带来了铺天盖地的移动数据,为诸如时空查询和数据挖掘等各种时空的研究及应用提供了重要素材,使得对于轨迹数据的研究成为当前的一个热点。当前,无论是对于原始轨迹数据的研究,还是对语义化轨迹数据的研究,都较少考虑轨迹移动过程中所潜藏的拓扑不变量。本文提出二维空间上基于关键点的轨迹-区域拓扑过程模型,以矩阵描述轨迹与区域的14种基本点集拓扑交叠类型,既而组织交叠序列描述轨迹和区域对象间的拓扑关联关系。模型不仅描述了轨迹与区域之间的拓扑不变量,而且结合轨迹特有行为的语义关联模型,描述轨迹相对区域的复杂拓扑过程。同时,本文还以模型中相邻两次交叠的相接交叠模式,探讨了区域间拓扑关系对于轨迹移动描述的约束。 The increasing pervasiveness of movement data,as a consequence of ubiquitous positioning techniques,has made researches on trajectories in the spotl ight,which can faci l itate and convey valuable knowledge to various kinds of studies as wel l as appl ications,such as spatio-temporal query and data mining.Despite recent research interest on trajectories switched from raw data to semantic trajectories, neither of them take into account topological invariants harbored in movements.This paper develops a topological process model of trajectories-regions based on critical points in a two-dimensional space, which distinguishes 14 basic intersection types,in point set topological theory,between trajectories and region objects by the pattern of a nested matrix,combined as sequences of intersections for describing topological correlations of trajectories-regions.The model is not only a description of topological invariants among trajectories and regions,but also the compl icated topological process covering multi-trajectory and multi-region,by incorporating semantics of trajectories’behaviors.Also,constraints on trajectories’ movements,brought by topological relations among regions,are discussed in the model by means of intersection l inkage patterns between two adjacent intersection events.
出处 《测绘学报》 EI CSCD 北大核心 2015年第11期1277-1284,共8页 Acta Geodaetica et Cartographica Sinica
基金 国家自然科学基金(41001296 60903035)~~
关键词 拓扑过程 交叠类型 语义关联 相接交叠 topological process intersection types semantic relations l inkage of intersection
  • 相关文献

参考文献27

  • 1ZHENG Yu, ZHOU Xiaofang. Computing with Spatial Trajectories~MJ. New York: Springer, 2011. 被引量:1
  • 2WOLFSON O, SISTLA P, XU Bo, et al. Tracking Moving Objects Using Database Technology in DOMINO EC~// Proceedings of the 4th Workshop on Next Generation Information Technologies and Systems (NGITS).Zikhron- Yaakov, Israeh[s.n.~, 1999: 112-119. 被引量:1
  • 3GUTING R H, BEHR T, ALMEIDA V, et al. SECONDO: An Extensible DBMS Architecture and Prototype [-J J. Collaborative Design, 2004:439 450. 被引量:1
  • 4CUDRt~-MAUROUX P, WU E, MADDEN S. Trajstore: An Adaptive Storage System for Very Large Trajectory Data Sets[C~//ICDE Conference. ]-S.I.~: IEEE, 2010: 109 120. 被引量:1
  • 5BUCHIN K, BUCHIN M, VAN KREVELD M, et al. Traiectory Grouping Structure [C~//DEHNE F, SOLIS- OBA R, SACK J R. Proceedings of the 13th International Symposium WADS. Berlin: Springer, 2013: 219-230. 被引量:1
  • 6POPAI S, ZEITOUNI K, ORIA V, et al. Spati~temporal Compression of Trajectories in Road Networks[J]. Geoin- formatica,2015, 9(1) : 117 145. 被引量:1
  • 7VIEIRA M R, BAKALOV P, TSOTRAS V J. Querying Trajectories Using Flexible Patterns~C~ // Proceedings of the 13th International Conference on Extending Database Technology.New York: ACM, 2010: 406-417. 被引量:1
  • 8FRENTZOS E, GRATSIAS K, THEODORIDIS Y. Index-based Most Similar Trajectory Search [-C ~ // Proceedings of the IEEE International Conference on Data Engineering.Istanbuh IEEE, 2007:816 825. 被引量:1
  • 9ZHENG Kai, ZHENG Yu, YUAN N J, et al. On Discovery of Gathering Patterns from Trajectories EC~ // Proceedings of the IEEE International Conference on Data Engineering. Washington, D.C.: IEEE, 2013. 被引量:1
  • 10CAO Xin, CONG Gao, JENSEN C S. Mining Significant Semantic Locations from GPS Data[J]. Proceedings of the VLDB Endowment,2010, 3(1-2) : 1009-1020. 被引量:1

二级参考文献37

共引文献32

同被引文献8

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部