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UTR^*-Tree:受限网络中移动对象不确定轨迹索引模型 被引量:3

UTR^*-Tree: An Uncertain Trajectories Model for Indexing Moving Objects in Constrained Networks
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摘要 受限网络中移动对象不确定轨迹的有效索引是移动对象数据库中的研究重点。针对现有方法的不足,提出了一种新的不确定轨迹索引结构UTR*-Tree。该索引结构采用静态和动态相结合存储管理移动对象,将变化极小的受限道路网络作为静态部分使用2维空间R*-Tree进行管理;将移动对象位置则作为动态信息采用R*-Tree和Hash数组协同管理。借助该结构,移动对象数据库不仅可以快速地处理对移动对象过去可能位置的查询,而且能够对其现在及将来的可能位置进行高效的查询处理。实验结果表明同目前有代表性的轨迹索引结构UTR-Tree相比,该索引结构在维护性能上提高了一个数量级,在查询性能上平均提高了约25%。 A novel index structure named UTR* -Tree was proposed for indexing uncertain trajectories.This index combined the dynamic and the static storage structure to manage the moving objects,which treated the constrained networks (where roads nearly keep unchanged) as the static factor and used a 2-dimensional R^* -Tree to manage the moving objects.An R^* -Tree and hash structure were also applied to manage the position information of moving objects,which was considered to be the dynamic operation.The index can obtain the possible historical positions of moving objects from the moving objects database as well as efficiently find the current and future possible positions of moving objects.The experimental results showed that the index outperforms the traditional UTR-Tree which is a representative index structure for uncertain trajectories;The performance of node maintenance is improved by one order of magnitude,and the query performance is increased by about 25% on average.
出处 《四川大学学报(工程科学版)》 EI CAS CSCD 北大核心 2010年第2期118-125,共8页 Journal of Sichuan University (Engineering Science Edition)
基金 国家自然科学基金资助项目(600773169) 国家"十一五"科技支撑计划(2006BAI05A01) 国家博士后科学基金资助项目(20090461346)
关键词 移动对象数据库 受限网络 不确定性 轨迹 索引 moving objects databases constrained network uncertain trajectory index
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  • 1Saltenis S, Jensen C S. Indexing of moving objects for location-based service. In Proc. 18th Int. Conf. Data Engineerinfl, San Jose, CA, 2002, pp.463-472.
  • 2Agarwal P K, Arge L, Erickson J. Indexing moving points(extended abstract). In Proc. the 19th ACM SIGMODSIGACT-SIGART Syrup. Principles of Database Systems,Dallas, Texas, 2000, pp.175-186.
  • 3Jensen C S, Lin D, Ooi B C. Query and update efficient B+-tree based indexing of moving objects. In Proc. 30th Int. Conf. Very Large Data Bases, Toronto, Canada, 2004,pp.768-779.
  • 4Patel M, Chen Y, Chakka V. STRIPES: An efficient index for predicted trajectories. In Proc. the ACM SIGMOD Int.Conf. Management of Data, Paris, France, 2004, pp.637-646.
  • 5Kollios G, Gunopulos D, Tsotras J V. On indexing mobile objects. In Proc. the 8th ACM SIGMOD-SIGACT-SIGARTS yrup. Principles of Database Systems, Philadelphia, USA,1999, pp.261-272.
  • 6Saltenis S, Jensen C S, Leutenegger S T, Lopez M A. Indexing the positions of continuously moving objects. In Proc.the ACM SIGMOD Int. Conf. Management of Data, Dallas,Texas, USA, 2000, pp.331-342.
  • 7Tao Y, Papadias D, Sun J. The TPR*-tree: An optimized spatiotemporal access method for predictive queries. In Proc.29th Int. Conf. Very Large Data Bases, Berlin, Germany,2003, pp.790 801.
  • 8Almeida V T D, Giiting R H. Indexing the trajectories of moving objects in networks. GeoInfomnatica, 2005, 9(1): 33-60.
  • 9Frentzos E. Indexing objects moving on fixed networks. In Proc. the 8th Int. Syrup. Spatial and Temporal Databases,Santorini Island, Greece, 2003, pp.289-305.
  • 10Pfoser D, Jensen C S. Indexing of network constrained moving objects. In Proc. 11th ACM Int. Syrup. Advances in Geographic Information Systems, New Orleans, Louisiana, USA,2003, pp.25-32.

共引文献11

同被引文献41

  • 1李国徽,钟细亚.一种基于固定网络的移动对象运动轨迹索引模型[J].计算机研究与发展,2006,43(5):828-833. 被引量:8
  • 2Ferreira C.Gene Expression Programming:A New Adaptive Algorithm for Solving Problems[J].Complex Systems,1993,13(2):87-129.
  • 3邬伦,刘瑜,张晶,等.地理信息系统原理方法应用[M].科学出版社,2004.
  • 4Wong Kok Wai,Gedeon Tamas D,Wong Patrick M.Spatial Interpolation Using Conservative Fuzzy Reasoning[C].//9th IFSA World Congress,Vancouver,2001(5):2825-2829.
  • 5陈碧宇,陈晓玲,陈慧萍,王长海.网络中移动对象的2维时空数据模型[J].测绘学报,2007,36(3):329-334. 被引量:5
  • 6Shaojie Qiao,Changjie Tang,Huidong Jin,Teng Long,Shucheng Dai,Yungchang Ku,Michael Chau.PutMode: prediction of uncertain trajectories in moving objects databases[J]. Applied Intelligence . 2010 (3)
  • 7Ralf Hartmut Güting,Thomas Behr,Jianqiu Xu.Efficient k-nearest neighbor search on moving object trajectories[J]. The VLDB Journal . 2010 (5)
  • 8Hoyoung Jeung,Man Lung Yiu,Xiaofang Zhou,Christian S. Jensen.Path prediction and predictive range querying in road network databases[J]. The VLDB Journal . 2010 (4)
  • 9Jidong Chen,Xiaofeng Meng.Update-efficient indexing of moving objects in road networks[J]. GeoInformatica . 2009 (4)
  • 10Thomas Brinkhoff.A Framework for Generating Network-Based Moving Objects[J]. GeoInformatica . 2002 (2)

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