Airside terminal traffic flow problem formulation under extreme weather: A case study in the Hong Kong International Airport

IF 4.8 1区 农林科学 Q1 AGRONOMY Rice Pub Date : 2022-11-29 DOI:10.1109/SCISISIS55246.2022.10001871
Tsz Chun Yeung, Cho Yin Yiu, K. Ng, Ho Sum Chu, Pui Hang Jong
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引用次数: 1

Abstract

As one of the busiest international airports, Hong Kong International Airport has to handle a large number of flights every day. It is essential for air traffic controllers to assign flight schedules within a short period of time. Under extreme weather, especially when tropical cyclones edge close to Hong Kong, it is of great importance to arrange the flights to perform appropriate actions such that aviation safety could be guaranteed. Thus, an accurate weather forecast is paramount under such circumstances. SARIMA model is adopted in this paper to predict wind speed for flights. A network model has also been constructed using the prediction of wind speed from the SARIMA model to minimise the time required for the flights to be landed on the runway.
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极端天气下空侧航站楼交通流量问题的制定:以香港国际机场为例
作为最繁忙的国际机场之一,香港国际机场每天要处理大量的航班。空中交通管制员必须在短时间内分配航班时刻表。在极端天气下,特别是热带气旋逼近香港时,安排航班采取适当行动,以保障航空安全,至为重要。因此,在这种情况下,准确的天气预报至关重要。本文采用SARIMA模型对飞行风速进行预测。利用SARIMA模型对风速的预测,还构建了一个网络模型,以最大限度地减少航班在跑道上降落所需的时间。
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来源期刊
Rice
Rice AGRONOMY-
CiteScore
10.10
自引率
3.60%
发文量
60
审稿时长
>12 weeks
期刊介绍: Rice aims to fill a glaring void in basic and applied plant science journal publishing. This journal is the world''s only high-quality serial publication for reporting current advances in rice genetics, structural and functional genomics, comparative genomics, molecular biology and physiology, molecular breeding and comparative biology. Rice welcomes review articles and original papers in all of the aforementioned areas and serves as the primary source of newly published information for researchers and students in rice and related research.
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