Research on Trip-generation Forecasting Model based on neural networks and genetic algorithms

The accurate and reliable Trip-generation Forecasting Model is the most basic and important part of the traffic forecasting model. This paper focuses on combining the neural network which has a strong fitting capability and genetic algorithm which has an excellent Global search capability with trip-generation forecasting model in order to achieve the purpose of improving the accuracy of prediction. Considering the characteristics of urban traffic, this paper proposes a method to optimize the BP neural network model by using genetic algorithm, and designs two kinds of Trip-generation Forecasting Model based on genetic algorithms and neural networks.