Terminal area utilization rate evaluation based on extension multi-level state classification

被引:2
作者
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China [1 ]
机构
[1] College of Civil Aviation, Nanjing University of Aeronautics and Astronautics
来源
Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron | 2013年 / 12卷 / 2533-2539期
关键词
Airport terminal area; Extension multi-level state classification; Index system; Utilization rate;
D O I
10.3969/j.issn.1001-506X.2013.12.15
中图分类号
V351 [航空港(站)、机场];
学科分类号
摘要
The extension multi-level airport terminal area utilization rate evaluation index system is established from three dimensions (space, time and capacity). The comprehensive evaluation method combining the extension analytic hierarchy process and the state classification evaluation is used to judge the level of the airport terminal area daily utilization rate. The method achieves the effective combination from both qualitative and quantitative methods, which can evaluate the level of utilization of the airport terminal area accurately and comprehensively. Moreover, the proposed method has important guidance significance for promoting the rational use of airspace and improving the level of airspace management. Taking the Hangzhou terminal area for example, identifying the distribution of single-runway airport utilization threshold. The results indicate that the terminal area utilization level is good and the example demonstrates the feasibility of the proposed method.
引用
收藏
页码:2533 / 2539
页数:6
相关论文
共 16 条
[1]  
National airspace system performance measurement overview, (1997)
[2]  
National airspace system performance assessment for year 2010, (1996)
[3]  
Steve B., Lee M.B., Michelle J.B., Use of performance metrics in airspace systems: US perspective, Proc. of the 2nd USA/EUROPE Air Traffic Management R&D Seminar, pp. 1-10, (1998)
[4]  
Eurocontrol specification for the application of the flexible use of airspace, (2009)
[5]  
Guidance document for the implementation of concept of the flexible use of airspace, (2003)
[6]  
Joseph R., Kevin R., Delay optimization for airspace capacity management with runtime and equity considerations, Proc. of the AIAA Guidance, Navigation and Control Conference and Exhibit, pp. 1-10, (2007)
[7]  
Aviation system performance metrics: Airport utilization, (2000)
[8]  
Craig R.W., Michael B.C., Daniel P.G., Et al., Measuring uncertainty in airspace demand predictions for traffic flow management applications, Proc. of the AIAA Guidance, Navigation, and Control Conference, pp. 1-11, (2003)
[9]  
Banavar S., Shon G., Kapil S., Et al., Initial study of tube networks for flexible airspace utilization, Proc. of the AIAA Guidance, Navigation, and Control Conference and Exhibit, pp. 1-10, (2006)
[10]  
Craig R.W., Song L., Zobell S., Et al., Probabilistic congestion management, Proc. of the 6th USA/Europe Air Traffic Management Research and Development Seminar, pp. 1-10, (2005)