准确地预测机场客流量对机场的建设和发展有着至关重要的作用.在三亚机场2005-2015年客流量数据的基础上,分别采用Holt-Winter季节模型、ARMA和线性回归模型分别对三亚机场2016-2017年的客流量进行了预测.为了减少预测误差提高预测精度,采用了组合加权的方法对数据进行了组合预测.经验证,该方法可以作为有效预测机场客流量的一种方法. Accurately forecasting the passenger flow of the airport plays an important role in the construction and development of the airport.On the basis of the traffic data of Sanya Airport from 2005 to 2015, the author uses the Holt-Winter seasonal model, the ARMA and the linear regression model to analyze the Sanya Airport And the forecast of passenger flow from 2016 to 2017. In order to reduce the prediction error and improve the prediction accuracy, a combination of weighting method was used to predict the combined data.It is proved that this method can be used as a method to effectively predict the airport traffic.