@inproceedings{e135d63c56cf44ae91a97b2e7576a221,
title = "Airside terminal traffic flow problem formulation under extreme weather: A case study in the Hong Kong International Airport",
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.",
keywords = "extreme weather, network model, real-time optimisation, SARIMA models",
author = "Yeung, {Tsz Chun} and Yiu, {Cho Yin} and Ng, {Kam K.H.} and Chu, {Ho Sum} and Jong, {Pui Hang}",
note = "Funding Information: ACKNOWLEDGMENTS The research is supported by the Research Grants Council, the Government of the Hong Kong Special Administrative Region (Grant number: PolyU25218321) and The Hong Kong Polytechnic University (Project number: BE3V, RJTT, RLPA). Cho Yin Yiu is a recipient of the Hong Kong PhD Fellowship (Reference number: PF21-62058). Publisher Copyright: {\textcopyright} 2022 IEEE.",
year = "2022",
month = nov,
doi = "10.1109/SCISISIS55246.2022.10001871",
language = "English",
series = "2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022",
}