时隙分配算法在CDM GDP 程序中的应用

机场容量由于恶劣天气等突发原因受到限制导致大面积航班的延误,带来了巨大的经济损失.CDM(Collaborative Decision Making) GDP(Ground Delay Procedure)就是解决这类突发情况的空中交通流量管理程序.就其核心问题--时隙分配,在现有的时隙分配算法基础上,引入航班延误损失系数,使得算法以延误损失替代延误时间,提出了2种基于该系数的时隙分配算法.最后,用java语言进行了仿真实验,引入了评判函数来选择在总延误损失和延误损失分配的公平性上最佳满足决策者要求的分配结果.

Slots allocation in CDM GDP

When encounters bad weather, airport capacity is far exceeded by the demand and the resulting delays are a financial and psychological burden for airlines and passengers. CDM(collaborative decision making) GDP(ground delay procedure) is the right Air Traffic Flow Management procedure to settle such special problems. To its main problem-slots allocation, a delay cost coefficient was introduced to current two algorithms. Then two new method had been put forward to handling this problem. In the end, an experimental simulation was done in java language. By using a evaluation function, one can easily find out the best result which meet the decision maker′s request both in total delay cost and equity.