进场飞机序列鲁棒指标评估模型

Robust Index Evaluation Model of Arriving Aircraft Schedules

研究进场飞机序列鲁棒性,选择合适的进场排序方法是提高进场空域利用率的有效办法。针对现有进场飞机排序算法较少、考虑不确定性因素影响的不足,在定义进场序列鲁棒性的基础上,建立基于马尔科夫链的进场飞机序列鲁棒性指标评估模型;并对某机场实际飞机落地时间误差数据进行统计与分析。得出飞机落地时间近似服从高斯分布。最后对比分析了1-CPS序列和带缓冲的FCFS序列在不同误差分布下的鲁棒指标与性能。结果表明,相比带缓冲的FCFS,1-CPS方法有效提高了进场序列的鲁棒性,这与实际情况吻合。而采用高斯分布近似表示飞机落地时间分布,与之前研究中以三角形分布作为落地时间分布相比,两种序列的鲁棒指标均提升了4倍多。同时也更贴近实际运行环境,获得的进场序列鲁棒指标更具实际参考意义。

Researching the robustnesof the arriving scheduleand making propechoice of the scheduling method ian effective meanto increase the terminal airspace utilization rate. Considering the prevailing scheduling methodfail to take the uncertain factorinto consideration completely , the concepof the schedule robusindex on the basiof the Markov chain and build the modelof arriving schedule robusindex idefined. Then on the basiof actual aircraflanding time errordatof real airport, the ploof aircraflanding time distribution icurved which followthe Gaussian distribution. Then the robusindex and performance of the 1-CPschedule and the buff- ered FCFschedule are analysed. Compared with the Buffered FCFschedule, the 1-CPschedule habettero- busindex which accordto facts. Using new Gaussian distribution compared with the formeresearch using triangu- ladistribution maketwo schedules＇ robusindex increase aleas4 timethan before. And the Gaussian distribu- tion ialso more close to the actual situation. more practical significance of the arriving schedule robusindex can be ~ot.