Machine learning for predicting off-block delays: A case study at Paris — Charles de Gaulle International Airport-Reference-Cited by-同舟云学术

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Machine learning for predicting off-block delays: A case study at Paris — Charles de Gaulle International Airport

Published:2024-07 Issue: Volume:152 Page:102303
ISSN:0169-023X
Container-title:Data & Knowledge Engineering
language:en
Short-container-title:Data & Knowledge Engineering

Author:

Falque Thibault^ORCID,Mazure Bertrand,Tabia Karim

Publisher

Elsevier BV

Reference29 articles.

1. Multifactor model for predicting delays at U.S. airports;Xu;Transp. Res. Rec.,2008

2. Optimizing gate assignments at airport terminals;Mangoubi;Transp. Sci.,1985

3. Airport gate scheduling with time windows;Lim;Artif. Intell. Rev.,2005

4. Using column generation for gate planning at Amsterdam airport schiphol;Diepen,2007

5. The airport gate assignment problem: A survey;Bouras;Sci. World J.,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Travelers' perception of smart airport facilities: An X (Twitter) sentiment analysis;Journal of Air Transport Management;2024-07

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