Departure flight delay predictions based on weather and non-weather data fusion-Reference-Cited by-同舟云学术

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Departure flight delay predictions based on weather and non-weather data fusion

Published:2023-11-24 Issue: Volume: Page:284-289
ISSN:
Container-title:Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management
language:
Short-container-title:

Author:

Xu Xuezhi¹^ORCID,Li Fan¹^ORCID,Dong Zijing²^ORCID,Li Jiayuan³^ORCID,Qian Jide¹^ORCID

Affiliation:

1. CAAC Key Laboratory of Flight Techniques and Flight Safety, Civil Aviation Flight University of China, China

2. College of Airport, Civil Aviation Flight University of China, China

3. College of Economics and Management, Civil Aviation Flight University of China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3656766.3656815

Reference11 articles.

1. A global model for estimating the block time of commercial passenger aircraft

2. Pejovic Tamara 2009. Factors affecting the frequency and severity of airport weather delays and the implications of climate change for future delays. Transportation research record 2139. 1 97-106. https://doi.org/ 10.3141/2139-12.

3. Analysis of airport weather impact on on-time performance of arrival flights for the Brazilian domestic air transportation system

4. An assessment of the capacity and congestion levels at European airports

5. Detecting periodic patterns of arrival delay

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