Airport Delay Prediction Method Under Weather Effects

被引：0

作者：

He, Yuan-Qing ^{[1
]}

Cai, Chun-Hao ^{[1
]}

机构：

[1] Civil Aviat Flight Univ China, Sch Comp Sci, POB 618307, Chengdu 618307, Sichuan, Peoples R China

来源：

CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS | 2020年

关键词：

Weather impact traffic index; Airport delay; Grey prediction model;

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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.

引用

页码：618 / 628

页数：11

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