A spatio-temporal simulation model for movement data generation

D. Alberg, M. Last, S. Elnekave

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

2 Scopus citations

Abstract

The real-world process of generating a large spatio-temporal data collection presents a very difficult technical problem. First, this process is very expensive, requiring a lot of various high-technology software tools and modern hardware infrastructure (sensors, servers, GPS infrastructure etc.) installations; second, the recorded trajectories sometimes cannot represent any special traffic or movement patterns. The simulation framework introduced in this paper can generate diverse trajectory datasets based on predetermined movement patterns.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008
Pages320-325
Number of pages6
DOIs
StatePublished - 1 Dec 2008
EventIEEE International Conference on Data Mining Workshops, ICDM Workshops 2008 - Pisa, Italy
Duration: 15 Dec 200819 Dec 2008

Publication series

NameProceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008

Conference

ConferenceIEEE International Conference on Data Mining Workshops, ICDM Workshops 2008
Country/TerritoryItaly
CityPisa
Period15/12/0819/12/08

Keywords

  • Movement data generation
  • Movement patterns
  • Spatio-temporal simulation model
  • Trajectory

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