A fuzzy approach to addressing uncertainty in Airport Ground Movement optimisation
A fuzzy approach to addressing uncertainty in Airport Ground Movement optimisation
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DOI：
10.1016/j.trc.2018.04.020
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发表时间：
2018-07-01
影响因子：
8.3
通讯作者：
Burke, Edmund K.
中科院分区：
文献类型：
--
作者：
Brownlee, Alexander E., I;Weiszer, Michal;Burke, Edmund K.
随着空中交通量的不断增加，为滑行飞机分配有效的航线（称为地面运动问题）变得越来越重要。如果滑行道不能可靠地快速穿越，飞机可能会错过跑道上宝贵的分配时隙，或者浪费燃料等待其他飞机离开。这个问题的有效算法已经提出，但很少有工作考虑到固有的不确定性域。本文提出了一种自适应Mamdani模糊规则为基础的系统来估计出租车时间及其不确定性。此外，现有的最快路径问题的时间窗口（QPPTW）算法适用于使用模糊出租车时间估计。在英国第三繁忙的曼彻斯特机场进行的模拟出租车运动实验表明，新方法产生的路线更加稳健，与原始QPPTW相比，由于出租车时间不确定而导致的延误减少了10-20%。
Allocating efficient routes to taxiing aircraft, known as the Ground Movement problem, is increasingly important as air traffic levels continue to increase. If taxiways cannot be reliably traversed quickly, aircraft can miss valuable assigned slots at the runway or can waste fuel waiting for other aircraft to clear. Efficient algorithms for this problem have been proposed, but little work has considered the uncertainties inherent in the domain. This paper proposes an adaptive Mamdani fuzzy rule based system to estimate taxi times and their uncertainties. Furthermore, the existing Quickest Path Problem with Time Windows (QPPTW) algorithm is adapted to use fuzzy taxi time estimates. Experiments with simulated taxi movements at Manchester Airport, the third-busiest in the UK, show the new approach produces routes that are more robust, reducing delays due to uncertain taxi times by 10-20% over the original QPPTW.