Research On The Technology Of Vehicle Navigation Based On GIS

With the improvement of people's living standard, drive activities are appearing with increasing frequency, which bringing traffic jams and leading to the drivers lost their way because of the complicated urban road construction. How to resolve the above urban traffic problems is becoming an urgent important topic. Car navigation system has advantage in improving the urban traffic condition and saving the driver's the time. So it has wide market application prospect in domestic. The accuracy and reliability of current domestic car navigation system still need to be improved, so this paper aims to improve the performance of the car navigation system by modified the three key technologies including vehicle positioning, map matching and route planning in order to meet the needs of the market.This paper analyzes the positioning principle of Globe Position System and Dead Reckoning System, according to problems existed in the current-statistical model which is used to describe the vehicle motion state, an improved current-statistical model is proposed. This model can meets all kinds of vehicle maneuvering characteristics. In order to improve the location accuracy and reliability of the car navigation system, the GPS/DR integrated location system based on Federal Kalman Filter is studied. Using the improved current-statistical model to established the state equations and measurement equations of the GPS/DR integrated location system based on analysis of the error model of the DR sensor. Analyzing the currently common method which adopting the Extended Kalman Filter (EKF) technology to realize GPS/DR integrated position method. Matlab simulation test show this method can't meet the high accuracy of the car navigation system. The EKF technology has disadvantage in dealing with nonlined model.Aimed at this shortage; the Unscented Kalman Filter (UKF) technology is adopted in order to improve the positioning accuracy furtherly.Describe the basic principle of the map matching and analayze the factors that affect the accuracy of map matching. Comparing the strengths and weaknesses of the several map matching algorithms that are often used at present.And the improved map matching algorithm based on fuzzy logic is designed. The test result show that proposed method can identify the correct vehicle path even in complicated urban road network. According to the issues of low efficiency of the common route planning algorithm-Dijstra algorithm, this paper proposes an improved Dijstra algorithm based on limiting the algorithm's search area. The test result that this algorithm can significantly raise the running efficiency of the route planning algorithm.Finally, the paper designs the general framework of the car navigation system, and utilizing the component control MapX which is based Geographic Information System (GIS) to realize the main functions of the car navigation system in Visual C++ 6.0 integrated development environment.