Forecasting airport surface traffic congestion based on decision tree

被引：0
|
作者：
Zhang Z. [1 ]
Zhang A. [1 ]
Sun C. [1 ]
Li S. [2 ]
机构：
[1] School of Aeronautics, Northwestern Polytechnical University, Xi'an
[2] College of Air Traffic Management, Civil Aviation University of China, Tianjin
来源：
Zhang, Zhaoyue (zy_zhang@cauc.edu.cn) | 1600年 / Totem Publishers Ltd卷 / 16期
关键词：
Air transportation; C4.5; algorithm; Decision tree; Traffic congestion;
D O I：
10.23940/ijpe.20.05.p7.738746
中图分类号：
学科分类号：
摘要：
To improve the operational efficiency of airport surfaces, this paper studies the air traffic congestion prediction of airport surfaces, demonstrates the limitations of traffic congestion prediction, and proposes a prediction method for airport surface traffic congestion based on decision tree. Firstly, the definition and measurement methods of traffic congestion in airport surfaces are promoted. Then, the key factors affecting traffic congestion are extracted, and a prediction model of traffic congestion is established. Finally, we verify the validity of the model based on actual operation data from Atlanta. The results show that the accuracy of the prediction is 70%. © 2020 Totem Publisher, Inc. All rights reserved.
引用
收藏
页码：738 / 746
页数：8
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