TY -的A2 - Ji,彭盟——Zhixing唐盟——山、黄盟——Songchen汉PY - 2021 DA - 2021/04/14 TI -最新进展关于航班延误下复杂网络SP - 5513093六世- 2021 AB -航班延误是最具挑战性的威胁之一,航空运输网络的操作系统。引入复杂网络研究在航班延误由于其低复杂性、高弹性模型构建、准确解释现实世界。我们调查的最新进展对航班延误使复杂网络理论的广泛使用。我们扫描分析静态网络和演化,一起对拓扑识别重要的节点/边。我们对鲁棒性之间的关系做出了澄清,脆弱,在航空运输网络和弹性。然后,我们调查研究因果关系,传播模型和最佳传播者识别在航班延误。最终,未来改进了四倍。(1)复杂网络下,飞行操作相关的子系统或子层被丢弃的大部分可用的网络模型。分层建模方法可以改善这对航班延误和提供更有能力的网络模型。(2)交通信息是缩小差距的关键拓扑和功能在当前的情况下。 Flight schedule and flight plan could be employed to detect flight delay causalities and model flight delay propagations more accurately. Real flight data may be utilized to validate and revise the detection and prediction models. (3) It is of great importance to explore how to predict flight delay propagations and identify best spreaders at a low cost of calculation complexity. This may be achieved by analyzing flight delay in frequency domain instead of time domain. (4) Summation of most critical nodes/edges may not be the most crucial group to network resilience or flight delay propagations. Effective algorithm for most influential sequence is to be developed. SN - 1076-2787 UR - https://doi.org/10.1155/2021/5513093 DO - 10.1155/2021/5513093 JF - Complexity PB - Hindawi KW - ER -