Research On Link Travel Time Prediction Based On GPS&GIS

Intelligent Transportation Systems (ITS) can solve the serious traffic problem. The travel time prediction is an important research item in the field of Intelligent Transportation Systems. It can provide real-time, accurate, reliable travel time prediction information for its subsystems.This dissertation analyzes the GPS and GIS to used for the possibility of travel time prediction ,and adopts to the GPS as the means to collect the transportation information, the technique as the complementary means of the way that the traditional means of the transportation information collecting, having the superiority that the traditional means of the transportation information collecting can't comparing to, but taking it as main means of transportation information collecting still see not much in our country and international countries, and also lack of the analysis to the theories system .Then discusses the history database that used for the travel time prediction needed.This dissertation analyzes the theories of history trend method,time preface row model,Kalman filter and BP neural network. This dissertation uses the Visual Basic6.0 program language to develop with vector map widget MapX to carry out the orientation and track of GPS fixed position data to display in GIS electronics map, then carries on the travel time prediction and analyzes it with basic GIS information of electronics map.