DOI: 10.18178/wcse.2018.06.074
An Improved Airport Capacity Model Based on Historical Airport Acceptance Rate Analysis
Abstract— As global economy grows, the number of planned flight largely increases at most airports. To improve the airport operation efficiency, the concept of airport acceptance rate (AAR) has been proposed. The conventional AAR researches only focus on evaluating the permitted arrival number of the airport. In this paper, the AAR and the traditional airport capacity model are firstly introduced. According to analyzing the historical acceptance rate data of US Memphis Airport, the airport operation mode is divided into 3 categories under different weather conditions. Based on different categories, an operation state decision factor is proposed to modify the airport capacity model. Finally, the revised model is used to calculate the excepted AAR of Chongqing Jiangbei Airport in China, which feature the same runway configuration as Memphis airport. Compared with the current airport capacity of Chongqing Jiangbei airport, some optimized suggestion are proposed.
Index Terms— airport acceptance rate, airport capacity, weather condition, operation state decision factor.
Guozhuang Pan, Zhiyuan Shen, Xinmiao Cheng, Zengyi Jiang
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, CHINA
Cite: Guozhuang Pan, Zhiyuan Shen, Xinmiao Cheng, Zengyi Jiang, "An Improved Airport Capacity Model Based on Historical Airport Acceptance Rate Analysis," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 423-428, Bangkok, 28-30 June, 2018.