Similarity measures for trajectory of moving objects in cellular space

Hye Young Kang, Joon Seok Kim, Ki Joune Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations

Abstract

While most GIS (Geographical Information System) are based on Euclidean space, cellular space can be used as an alternative type of space for a large number of GIS applications. In order to analyze the pattern of moving objects in cellular space, we need new definitions of similarity between their trajectories since the trajectories in cellular space significantly differ from those in Euclidean space. In this paper, we study the properties of moving object in cellular space. Based on these observations, we propose several similarity measures between trajectories in cellular space. We analyze the differences of the proposed measures by experiments.

Original languageEnglish
Title of host publication24th Annual ACM Symposium on Applied Computing, SAC 2009
Pages1325-1330
Number of pages6
DOIs
StatePublished - 2009
Externally publishedYes
Event24th Annual ACM Symposium on Applied Computing, SAC 2009 - Honolulu, HI, United States
Duration: Mar 8 2009Mar 12 2009

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Conference

Conference24th Annual ACM Symposium on Applied Computing, SAC 2009
Country/TerritoryUnited States
CityHonolulu, HI
Period03/8/0903/12/09

Keywords

  • Cellular space
  • Moving object
  • Similarity measure

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