Forecast of Bus Passenger Traffic Based on Exponential Smoothing and Trend Moving Average Method

Two prediction models, exponential smoothing and trend moving average method, are selected for bus passenger traffic prediction. An analysis is made from aspects of basic idea, basic theory and so on. With the bus passenger traffic of Anqing, underlying index is used to compare the prediction accuracy of two models. The results demonstrate that trend moving average method has better effect on bus passenger traffic prediction. Therefore, the trend moving average method is rational and effective on the bus passenger traffic prediction.