Research on bus elastic departure interval based on Wavelet Neural Network

In recent years, more and people choose to travel by bus save time economic costs, but the problem of inaccurate arrival has become increasingly prominent. The reason is lack scientific planning departure time. This paper takes passenger flow as an important basis for interval, proposes a prediction method based on wavelet neural network, uses intelligent optimization algorithm study elastic interval. this paper, network model interval are established, then solved substituting data, finally theoretical optimal obtained.