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

Tsz Chun Yeung, Cho Yin Yiu, Kam K.H. Ng, Ho Sum Chu, Pui Hang Jong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665499248
DOIs
Publication statusPublished - Nov 2022

Publication series

Name2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022

Keywords

  • extreme weather
  • network model
  • real-time optimisation
  • SARIMA models

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization
  • Modelling and Simulation
  • Numerical Analysis

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