Development of a positioning solution using fuks based on rts smoother combined with fukf for vehicle management systems

This article introduces a new way to improve accuracy of trajectory in transportation management systems, in which it describes a design for integrated INS/GPS device mounted on vehicle and algorithms for trajectories at the station. The significant features of this system are the ways to process data at station by using a flexible unscented Kalman filter algorithm, and a backward retrieval calculation algorithm based on Rauch-Tung-Striebel smoother, called flexible unscented Kalman smoother. This system has the capability of receiving the information in order to locate, monitor hybrid buses more exactly and manage some other motion parameters to improve the quality of monitoring and management transportation system, and also to evaluate driving style of drivers in services and support for smart cities.