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Evaluating different approaches of spatial database management for moving objects

Somayeh Dodge
M.Sc. Student, Dept. of GIS Eng.
Email: s2dodge@yahoo.com


Ali A. Alesheikh
Assistant Professor, Dept. of GIS Eng.
Email: alesheikh@kntu.ac.ir

Faculty of Geodesy and Geomatics Eng., K.N. Toosi University of Technology
Vali Asr St., Vanak Sq., Tehran, Iran, Post Box: 15875-15433
Fax: +98 21 878 6213 Tel: +98 21 877 9473-5



Abstract:
Currently, Moving Object Database (MOD) applications are being developed in an unordered fashion. Database Management System (DBMS) technology provides a potential foundation upon which to develop these applications, however, DBMS's are currently not tuned for this purpose. The reason is that there is a critical set of capabilities that are needed by moving objects database applications and are lacking in existing DBMS's. Existing DBMS's are not well equipped to handle continuously changing data. This paper presents behavioral aspect of the spatio-temporal databases for managing and querying moving objects.Our objective is to evaluate and develop a framework for managing and querying moving object database. The results of the evaluation are demonstrated in this paper. A commercial software package has then been selected to design and develop the capabilities required for moving object’s querries.

1. Introduction
Currently, Moving Object Database (MOD) applications are being developed in an unordered fashion. Database Management System (DBMS) technology provides a potential foundation upon which to develop these applications, however, DBMS's are currently not tuned for this purpose. The reason is that there is a critical set of capabilities that are needed by moving objects database applications and are lacking in existing DBMS's. Existing DBMS's are not well equipped to handle continuously changing data.The key problem is how to model the location of moving objects and enable DBMS to predict the future location of a moving object by using efficient index and query manners.Generally, a query in MOD applications involves spatial objects (e.g. points, lines, regions, polygons) and temporal constraints.

Nowadays, spatio-temporal decision-making in life support sciences often requires the use of datasets where, in addition to the measured values, the description of the physical geometry (in terms of spatial and temporal coordinates) is also part of these sets. Spatio-temporal database is a database that embodies spatial, temporal, and spatiotemporal database concepts, and captures spatial and temporal aspects of data.

The importance of incorporating time in modeling data is widely recognized by many researches, but most of the intentions mentioned are focused around the non-spatial domain.

Time has always been a fascinating dimension of human existence. It is also an aspect in the field of geographic information science that today is getting more attention than ever before. The integration time in existing desktop GIS packages is a great challenge today. TGIS is an interdisciplinary subject that can be considered in various application domains, including environmental monitoring and decision-making, health risk assessment, ecologic hypotheses testing, geocoding, geodesy, photogrammetry, computer-aided design, transportation planning, economic development, military operations, gender studies, retail planning, and resource management, to mention only a few.

This paper presents behavioral aspect of the spatio-temporal databases for managing and querying moving objects.Our objective is to evaluate and develop a framework for managing and querying moving object database. The results of the evaluation are demonstrated in this paper. A commercial software package has then been selected to design and develop the capabilities required for moving object’s querries.

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