Machine Learning Approach to the Analysis of Traffic Management Initiatives-Reference-Cited by-同舟云学术

Machine Learning Approach to the Analysis of Traffic Management Initiatives

Published:2021-04 Issue:2 Volume:29 Page:56-68
ISSN:2380-9450
Container-title:Journal of Air Transportation
language:en
Short-container-title:Journal of Air Transportation

Author:

Mangortey Eugene¹,Bleu-Laine Marc-Henri¹,Puranik Tejas G.¹,Pinon Fischer Olivia¹,Mavris Dimitri N.¹

Affiliation:

1. Georgia Institute of Technology, Atlanta, Georgia 30332-0150

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Management of Technology and Innovation,Management, Monitoring, Policy and Law,Energy (miscellaneous),Safety Research,Transportation,Aerospace Engineering

Reference38 articles.

1. Analysis of performance and equity in ground delay programs

2. XiongJ. “Revealed Preference of Airlines’ Behavior Under Air Traffic Management Initiative,” Ph.D. Thesis, Univ. of California, Berkeley, Berkeley, CA, 2010, https://escholarship.org/uc/item/7449k7vk [retrieved 21 April 2020].

3. Development of a Data Fusion Framework to support the Analysis of Aviation Big Data

4. Predicting The Occurrence of Weather And Volume Related Ground Delay Programs

5. Application Of Data Fusion And Machine Learning To The Analysis Of The Relevance Of Recommended Flight Reroutes

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2. Air delay propagation patterns in Europe from 2015 to 2018: an information processing perspective;Journal of Physics: Complexity;2021-12-22

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