{"title":"Predictive Distribution of Mass and Speed Profile to Improve Aircraft Climb Prediction","authors":"Richard Alligier","doi":"10.2514/1.d0181","DOIUrl":null,"url":null,"abstract":"Ground-based aircraft trajectory prediction is a major concern in air traffic management. Focusing on the climb phase, neural networks are trained to predict some of the unknown point-mass model pa...","PeriodicalId":36984,"journal":{"name":"Journal of Air Transportation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Air Transportation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2514/1.d0181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 8
Abstract
Ground-based aircraft trajectory prediction is a major concern in air traffic management. Focusing on the climb phase, neural networks are trained to predict some of the unknown point-mass model pa...
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