Evaluating trajectory queries over imprecise location data

Xike Xie, Reynold Cheng, Man Lung Yiu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Trajectory queries, which retrieve nearby objects for every point of a given route, can be used to identify alerts of potential threats along a vessel route, or monitor the adjacent rescuers to a travel path. However, the locations of these objects (e.g., threats, succours) may not be precisely obtained due to hardware limitations of measuring devices, as well as the constantly-changing nature of the external environment. Ignoring data uncertainty can render low query quality, and cause undesirable consequences such as missing alerts of threats and poor response time in rescue operations. Also, the query is quite time-consuming, since all the points on the trajectory are considered. In this paper, we study how to efficiently evaluate trajectory queries over imprecise location data, by proposing a new concept called the u-bisector. In general, the u-bisector is an extension of bisector to handle imprecise data. Based on the u-bisector, we design several novel filters to make our solution scalable to a long trajectory and a large database size. An extensive experimental study on real datasets suggests that our proposal produces better results than traditional solutions that do not consider data imprecision.
Original languageEnglish
Title of host publicationScientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Proceedings
Pages56-74
Number of pages19
DOIs
Publication statusPublished - 9 Jul 2012
Event24th International Conference on Scientific and Statistical DatabaseManagement, SSDBM 2012 - Chania, Crete, Greece
Duration: 25 Jun 201227 Jun 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7338 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Scientific and Statistical DatabaseManagement, SSDBM 2012
Country/TerritoryGreece
CityChania, Crete
Period25/06/1227/06/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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