The Research Of Vehicle Location And Map Matching Models Based On GPS/GIS Integrate Environment

Vehicle navigation system, which belongs to the research category of the traveler information service fields in Intelligent Transportation System (ITS), is an important ITS application system in great demand. The paper describes the present situation of ITS,the components of intelligent vehicle navigation system and applications of GPS/GIS in ITS. It researches the federated filtering algorithm and synthetically analyzes the shortcomings of it. According to the functional models and stochastic models of GPS/DR, the paper presents three adaptive fusion methods based on currently statistic models, testifies the validity of fusional methods by practically surveying data and resolves adaptive problem owing to the lack of observational information. The thesis discusses the actuality and function of map data models and map matching in vehicle navigation system, improves map matching algorithm in existence and presents a new map matching algorithm based on probability method. By testing, it shows that the method possesses high efficiency and reliability.