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Supporting uncertainty in moving objects in network databases
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Source Geographic Information Systems archive
Proceedings of the 13th annual ACM international workshop on Geographic information systems table of contents
Bremen, Germany
SESSION: Moving objects table of contents
Pages: 31 - 40  
Year of Publication: 2005
ISBN:1-59593-146-5
Authors
Victor Teixeira de Almeida  Praktische Informatik IV Fernuniversität Hagen, Hagen, Germany
Ralf Hartmut Güting  Praktische Informatik IV Fernuniversität Hagen, Hagen, Germany
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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ABSTRACT

The management of moving objects has been intensively studied in the recent years. A wide and increasing range of database applications has to deal with spatial objects whose position changes continuously over time, called moving objects. Due to the continuous and unpredictable nature of the movements, they cannot be precisely stored in a database, and therefore objects' positions are sampled, and between these sampled positions interpolation is used. This sampling/interpolation approach results in uncertainty in the objects' positions in the whole trajectory of the moving objects. In this paper, we try to analyze this problem about uncertainty when the movement is restricted to a network. Examples of such movements are cars in highways and trains in railroads. The uncertainty problem is simpler in such cases compared to the free movement in 2-dimensional space. We describe the geometry of the uncertain trajectories of the objects with movement constrained to networks, an extension to the framework in [18, 16] to support uncertainty, as well as some implementation considerations using Secondo, an extensible database system that supports non-standard applications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Victor Teixeira de Almeida: colleagues
Ralf Hartmut Güting: colleagues