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Querying Unintelligible Data on Geospatial Trajectory Database
Authors(2) :-Dr. K. Sathesh Kumar, Dr. S. Ramkumar
Current GPS technologies collect objects and its movement and store the trajectories periodically in the MOD (Moving Object Database). In such environment, some location errors may arise and some models are unable to capture the changes in trajectories dynamically. Especially, the uncertainty capturing is a challenging one. In order to handle these issues in spatial database, the proposed system develops a new trajectory model to handle the uncertainty and querying on uncertain spatial queries. Initially this develops an adaptable trajectory approach to provide actual positions and temporal changes in uncertainty along with improbable uncertainty ranges. The next part of ongoing implementation provides effective spatial query processing with successful indexing process. This presents the temporal R+ tree indexing with inverted list. This provides an efficient mechanism to evaluate improbable range objects and its spatial queries using Rife-density trajectories.
Dr. K. Sathesh Kumar, Dr. S. Ramkumar
RFID sensors, R+Tree, GSM, Trajectory Model, Road Network, Dynamic Route Map.
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Published in : Volume 2 | Issue 4 | July-August 2016
Date of Publication : 2016-08-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 180-187
Manuscript Number : IJSRST162437
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Dr. K. Sathesh Kumar, Dr. S. Ramkumar, "Querying Unintelligible Data on Geospatial Trajectory Database", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 2, Issue 4, pp.180-187, July-August-2016
URL : http://ijsrst.com/IJSRST162437