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