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为了能将预测天气的概率信息加入流量管理的决策中,提高航空公司航班计划的有效性和准确性,利用具体机场历史天气数据,对该机场终端区影响容量的天气使用聚类算法进行分类,提出了对应于概率天气预报的概率容量分布模型。通过该模型,对终端区天气数据进行分析计算,然后使用遗传算法得出机场终端区天气季节性影响的容量。通过对成都双流国际机场终端区天气数据进行分析计算,计算结果与实际运行数字误差不大。
In order to be able to add the probability information of forecasting weather to traffic management decision-making and to improve the validity and accuracy of airlines flight plan, weather information of specific airports is used to classify the weather affecting capacity of terminal area of the airport using clustering algorithm, A probabilistic capacity distribution model corresponding to probabilistic weather forecast is proposed. Through the model, the terminal area weather data analysis and calculation, and then use the genetic algorithm to draw the airport terminal area weather seasonal impact capacity. Through the analysis and calculation of the weather data in the terminal area of Chengdu Shuangliu International Airport, there is not much difference between the calculated result and the actual operation figure.