Chapter
Aug 12, 2020
Airport Delay Prediction Method Under Weather Effects
Publication: CICTP 2020
ABSTRACT
At present, weather is the most important factor causing flight delays. In this paper, we propose the airport delay WITI, which is composed of visibility, wind, relative humidity, special weather, and executed departure volume, based on the characteristics of airport departure delay. Then we established a multiple linear regression model to calculate the influence weights of each index on airport delay. Next, we established a grey prediction model to predict airport delay rate according to weather prediction data. Finally, we used the ZUUU Airport weather operation data as a research example.
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Published In
CICTP 2020
Pages: 618 - 628
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© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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1School of Computer Science, Civil Aviation Flight Univ. of China, P.O. Box 618307, Sichuan, China. Email: [email protected]
2School of Computer Science, Civil Aviation Flight Univ. of China, P.O. Box 618307, Sichuan, China. Email: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.