Continuous Range Queries Over Multi-attribute Trajectories

Jianqiu Xu, Zhifeng Bao, Hua Lu

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


A multi-attribute trajectory consists of a sequence of time-stamped locations and a set of attributes that characterize diverse aspects of the corresponding moving object. In this paper, we study continuous range queries over multi-attribute trajectories. Such a query returns the objects whose attributes contain expected values and whose locations are always within a distance threshold to the query trajectory during the entire overlapping time period. To efficiently answer the query, an optimal method of partitioning the trajectories is proposed and an index structure is developed to support the combined search of spatio-temporal parameters and attribute values. We provide a general solution that is able to process multi-attribute trajectories as well as traditional trajectories without attributes. We carry out comprehensive experiments in a prototype database system to evaluate the efficiency and scalability of our designs. The experimental results show that our approach outperforms five alternative approaches by a factor of 5-50x on large datasets.
Original languageEnglish
Title of host publication35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019
Number of pages4
Place of PublicationNew York
Publication date2019
Article number8731413
ISBN (Print)9781538674758
ISBN (Electronic)9781538674741
Publication statusPublished - 2019
Externally publishedYes
Event35th International Conference on Data Engineering (ICDE) - Macau, China
Duration: 8 Apr 201911 Apr 2019
Conference number: 35


Conference35th International Conference on Data Engineering (ICDE)
Internet address
SeriesProceedings of the International Conference on Data Engineering


  • Algorithms
  • Multi-attribute
  • Partition
  • Range queries
  • Trajectories

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