Aggregation and comparison of trajectories

Nirvana Meratnia, R.A. de By

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

38 Citations (Scopus)
205 Downloads (Pure)


Dealing with moving objects necessitates having available complete geographical traces for determining exact or possible locations that objects have had, have or will have. This is where trajectory determination plays an important role, and on which classification, aggregation and comparison methods must be built. The purpose of aggregation is to identify similar trajectories and to represent them by a single trajectory.Although much work has been done in similarity measurements for time series data, they mainly deal with one dimensional time series. On the other hand, they are good for short time series and in absence of noise, which is definitely not the case for moving objects. This paper describes different approaches to aggregate similar trajectories.
Original languageEnglish
Title of host publicationGIS '02
Subtitle of host publicationProceedings of the 10th ACM International Symposium on Advances in Geographic Information Systems ACM-GIS, McLean, 8-9 November 2002
EditorsA. Voisard, S. Chen
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Number of pages6
ISBN (Print)1-58113-591-2
Publication statusPublished - 2002
Event10th ACM International Symposium on Advances in Geographic Information Systems, GIS 2002 - McLean, United States
Duration: 8 Nov 20029 Nov 2002
Conference number: 10


Workshop10th ACM International Symposium on Advances in Geographic Information Systems, GIS 2002
Abbreviated titleGIS
Country/TerritoryUnited States


  • GIP
  • ADLIB-ART-924
  • Moving objects
  • Trajectory
  • Aggregation
  • Pattern of movement
  • Spatial similarity
  • Spatiotemporal queries


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