机场终端区飞行流量的优化算法研究

为解决繁忙机场飞行终端区的交通拥挤问题,研究了遗传算法在跑道分配和飞机排序中的应用。建立多条跑道多架飞机的数学模型,使用遗传算法仿真计算寻求飞机进场总延迟时间最小的排序方案,并与传统的先到先服务算法进行了对比。结果表明:遗传算法与先到先服务排序相比较,总延迟时间减少了53%,说明了该算法排序结果明显优于先到先服务的排序结果。遗传算法具有全局寻优,且优化效率高的特点,有助于空中交通流量管理优化方案的建立。

Optimized Method for Flight Arrangement in Terminal Airspace

To solve the problem of heavy traffic in terminal airspace,Genetic Algorithm(GA) is introduced in the study of runway assignment,flight sequencing and scheduling.Firstly,a mathematic model with multiple runways and multiple aircrafts is set up to seek the minimum queue time.Then,a comparison is made between GA and the traditional method of first come first service(FCFS).The result shows that the total queue time obtained by GA is reduced by 53%,which demonstrates that GA is better than FCFS at solving the above question.Due to the characteristics of global optimum and high efficiency,GA contributes to the better solution of air traffic flow management.