Combined Prediction Research of City Traffic Flow Based On Genetic Algorithm

Intelligent transportation system is the best measure to solve the urban traffic jam in the world, Forecasting urban traffic network is the premise for developing urban intelligent transportation system.In this paper ,some important forecasting models,including the theory and characteristic,are discussed, and the factors are discussed to influence the forecasting model. In the end ,combined prediction of city traffic flow based on genetic algorithm is given, using the characteristics of genetic algorithm´s colony search,the new algorithm combines all kinds of algorithms,optimizes the prediction way of thinking , fully discovers the advantages of different algorithms, and turns out to be practical and productive.