Aimed to keep a balance between positioning accuracy and running cost, this paper proposed an integrated positioning method based on GPS and UWB for the commercial applications of intelligent vehicle’s navigation and position system. When the vehicle is traveling in a wide area and the received GPS signal is good, the positioning results of Dead-Reckoning system are corrected by the low frequency positioning parameters output by GPS. During the correcting process, in order to realize the better fusion of measuring data, a simplified federal Kalman filter was designed by using indirect method. But when the vehicle is traveling in someplace making GPS signal failure such as city tunnel, the positioning results from UWB independent technology are adopt to replace the GPS signal for vehicle integrated positioning. The algorithm used in the UWB positioning technology was two-phase positioning algorithm based on the signal arrival time, and Gaussian filtering method was also used in the pretreatment process of distance measuring valves. Finally, the Matlab/Simulink-Carsim co-simulation was conduted based on this. Simulation results demonstrate that even the GPS signal is invalid and sensors are cheap, a better positioning accuracy can be achieved with the integrated positioning method proposed in this paper.