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GPS Tracking Simulation by Path Replaying

GPS (Global Positioning System) has a variety of applications among which real-time tracking finds significance in day-to-day life. GPS tracking is defined as the measurement of object position and orientation in a given coordinate system using GPS data at different points of time. GPS data are collected from GPS receivers attached to the moving objects and these data are used for tracking objects in real-time. Researchers who work in GPS tracking need GPS databases which contain huge volume of GPS data generated by hundreds of GPS receivers. But the presently available GPS databases are owned by private players and are not available for use by the researchers. This work is an attempt to generate a database of GPS data which can be used by the researchers to develop and test GPS applications. The approach consists of three successive steps: Collecting floating car data (FCD) of each path once in a log file; refining the log file; and replaying multiple instances of several log files simultaneously after replacing some old values with new values to simulate GPS tracking. Thus a single path tracked previously can be used to produce a tracking simulation of a number of moving objects by path replaying and each and every execution of the simulation generates a set of new GPS tracking data of several moving objects. These data are stored in a database and can be used as sample data for developing and testing GPS