@inproceedings{8cc2c49f56f24d398054df8c451ddc34,
title = "The Method of Division and Classification Quantification for Snow and Ice Removal on Airport Pavement",
abstract = "In the northern cities of China, the winter snow and ice on the airport pavement seriously affects the airport operation efficiency. It is necessary to study the area division and classification quantification of airport pavement snow and ice removal operation in order to scientifically dispatch the equipment group of airport pavement for snow clearance and de-icing. Based on the analysis of the importance of different airport pavements, the airport pavement is divided into different snow removal areas, and the initial priority quantification model is proposed. The gray difference network method is used to predict the operation time of the airport pavement snow removal. Then, the dynamic priority model of the airport pavement is established with the initial priority as the input, and the dynamic status of the airport pavement priority in each stage is generated, and output dynamic priority matrix. Finally, the process of snow and ice removal in a large hub airport is simulated, and the simulation results show that the proposed method is feasible.",
keywords = "Air transportation, Classification, Division, Hub airport, Snow and ice removal on airport pavement",
author = "Zhang, \{Ya ping\} and Yu Zhang and Xing, \{Xiao qing\} and Ye Chen and Nan Yang and Jian Mao",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 11th International Conference on Green Intelligent Transportation Systems and Safety, 2020 ; Conference date: 17-10-2020 Through 19-10-2020",
year = "2022",
doi = "10.1007/978-981-16-5429-9\_50",
language = "英语",
isbn = "9789811654282",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "649--664",
editor = "Wuhong Wang and Yanyan Chen and Zhengbing He and Xiaobei Jiang",
booktitle = "Green Connected Automated Transportation and Safety - Proceedings of the 11th International Conference on Green Intelligent Transportation Systems and Safety",
address = "德国",
}