Data Mining on Spatial Data In Focus of Positioning Accuracy in GIS Application

This project emphasizes onthe concepts of Global Positioning System (GPS) in a broader
perspective of research in GIS. The emphasis is placed on improving GPS positioning
accuracy. The project is significant in terms of increasing the quality of the existing
prototype by identifying and correcting the sources of errors. GPS is used in vehicles for
bothtracking and navigation. Tracking systems enable a base station to keep track of the
vehicles without the intervention of the driver where, as navigation system helps the
driver to reach the destination. GPS can be a powerful tool that assists researchers locates
points of interest. While GPSprovides an easyway to collectlatitude and longitude, it is
important to remember that there are errors inherent in any GPS collected point. In order
to use GPS most effectively, users need to decide on a strategy for dealing with the
errors. Although there are several approaches such as dead reckoning, real time
kinematic, to improving position accuracy, differential correction (concept of DGPS) is
common to most of researchers. Differential correction can remove most of the effects of
S/A and other common sources of error in GPS computed positions. It is the most
consistent and effective meansof improving positionaccuracy.
This final year project will result in an enhanced version of existing vehicle-tracking
prototype system. The enhancement is in the form of accuracy in tracking the truck in this
system. This GPS-based vehicle tracking system will tell user where the truck is, who is
the driver, the truck plat no and destinations. The project assesses the GPS accuracy
issues; identify commonsources ofGPS position error and clarifysome specificmethods
in reducing position error. Through this project, the author compares various techniques,
analysts, interpreters to test, which is best. The targeted audience for this prototype is for
employees working in companies involving in the field of transportation. The Rapid
Application Development (RAD) model is used to decrease time needed to design and
implement the enhanced system without sacrificing its quality.