Trajectory Prediction for Vectored Area Navigation Arrivals

Sungkwon Hong, Keumjin Lee
{"title":"Trajectory Prediction for Vectored Area Navigation Arrivals","authors":"Sungkwon Hong, Keumjin Lee","doi":"10.2514/1.I010245","DOIUrl":null,"url":null,"abstract":"To maximize the capacity of airports by optimally allocating available resources such as runways, the arrival times of individual aircraft need to be computed. However, accurately predicting arrival times is difficult because aircraft trajectories are frequently vectored off the standard approach procedures. This paper introduces a new framework for predicting aircraft arrival times by incorporating probabilistic information for the types of trajectory patterns that will be applied by human air traffic controllers. The major patterns of the trajectories are identified, and the probabilities of those patterns are computed based on the patterns of the preceding aircraft. The proposed method is applied to traffic scenarios in real operations to demonstrate its performance.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Aerosp. Inf. Syst.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2514/1.I010245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 46

Abstract

To maximize the capacity of airports by optimally allocating available resources such as runways, the arrival times of individual aircraft need to be computed. However, accurately predicting arrival times is difficult because aircraft trajectories are frequently vectored off the standard approach procedures. This paper introduces a new framework for predicting aircraft arrival times by incorporating probabilistic information for the types of trajectory patterns that will be applied by human air traffic controllers. The major patterns of the trajectories are identified, and the probabilities of those patterns are computed based on the patterns of the preceding aircraft. The proposed method is applied to traffic scenarios in real operations to demonstrate its performance.
矢量区域导航到达的轨迹预测
为了优化分配跑道等可用资源,使机场的容量最大化,需要计算每架飞机的到达时间。然而,准确预测到达时间是困难的,因为飞机轨迹经常偏离标准进近程序。本文介绍了一种新的框架,通过结合人类空中交通管制员将应用的轨迹模式类型的概率信息来预测飞机到达时间。识别轨迹的主要模式,并根据前一架飞机的模式计算这些模式的概率。将该方法应用于实际交通场景,验证了其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信