机场航班延误优化模型

针对空中交通日益严重的航班延误,给出了一种机场航班延误优化模型.模型将机场的到达和出发视为密切相关的两个过程,考虑了具有连续航程的航班(到达和出发均由同一架飞机在当天顺序执行)及其到达和出发过程之间的相互影响.模型还充分考虑了机场容量、需求以及天气等因素的动态特性,在达到和出发过程之间实现流量分配的协同决策.在机场延误不可避免的情况下,该模型可以为管制员提供未来一段时间内的流量分配优化方案,尽量降低延误的后续影响.最后,结合中国某国际机场的实际数据,利用遗传算法对模型进行了验证,取得了很好的效果.

Optimizing airport flight delays

This paper presents a model based on the geuetic algorithm for optimizing airport flight delays to reduce serious air traffic flight delays. The model takes the arrivals and departures as two interdependent processes and also considers connecting flights and their influence. The model considers the dynamic characteristics of airport capacity, traffic demand, and weather to makes decision on the flow distribution between arrivals and departures. When a flight delay is unavoidable, the model provides the controller with the optimal flow distribution in a future time window to reduce the influence of the delay as much as possible. Data from an international airport in China has been used to verify the model.