An improved strong tracking Kalman filter algorithm for real-time vehicle tracking

This paper deals with the improved strong tracking Kalman filter algorithm for vehicle tracking analysis. The proposed solution has an advantage in two ways, which are used for a location to be identified with the GPS (Global positioning system) and basic GSM with message setting. The structure two modules, the Sender side and Receiver side. The performance of improved strong tracking Kalman filter algorithm is analyzed for fast lane moving and obstacle detection with history notification. This paper also analyzed the real-time measurements of the GPS vehicle tracking system using the hardware set up using Arduino MEGA with SIM 808A. The vehicle position monitoring is also tested and the performance has been analyzed with Matlab simulation.