Multi-Objective Intelligent Optimization of Arrival and Approach Procedure Design
F. R. Sun, S. C. Han, G. Qian, Z. Y. Shen, & F. Adelstein
†College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China,‡Department of Operation Control, China Eastern Airlines Jiangsu Co., Ltd, Nanjing, 211113, China
§Ind. Eng. Dept., Northern Border Univ., Arar, Saudi Arabia
ABSTRACT: With the sustained growth of air traffic flow, aviation noise problems of arrival aircraft are growing more and more severely. It puts forward higher requirements to optimize the trajectory of arrival and approach segment. The technique of Performance Based Navigation makes flexible flight procedure design possible, also safety, noise effect, efficiency, simplicity of flight procedure should be taken into consideration when designing flight procedure. In this paper, multi-objective optimization model of arrival and approach procedure design is established which selects safety and noise constraints as the limits, efficiency and simplicity as the optimization targets, then improved ant colony algorithm is designed to solve the problem. Finally, taking Lanzhou terminal airspace as design background, the arrival and approach procedures are designed. Analysis verifies the feasibility and validity of the optimization model and solution algorithm.
Keywords : Noise abatement; Multi-objective optimization; Pareto ant colony algorithm; Flight procedure design.
 Meng Z. Computer Aided Design and Verify of flight procedure based on GNSS. Chengdu: University of Electronic Science and technology, 2010.
 Xia L. Preliminary study on the design of 3D rendering system for instrument flight program. Mianyang: Civil Aviation Flight University of China, 2011.
 Heng X, Boli Z. Instrument Flight Procedure based on Google Earth. Aeronautical Computing Technique, 2012.4: 97-100.
 Guangqin H, Lei Y. The final approach segment based on Google Earth 3D presentation. Science technology and engineering, 2012, (4): 948-950.
 Xiaoyun S, Rui Z, Weidong J, et al. Three dimensional visualization simulation of RNP flight program based on World Wind. Journal of system simulation, 2012, 24 (10): 2131-2135.
 KHARDI S. ,ABDALLAH L. Optimal approach minimizing aircraft noise and fuel consumption. ACTA Acustica United with Aacustica, 2009 (95): 68-75.
 Chao W. Multi-objective Intelligent Optimization of Noise Abatement Departure Trajectory. Journal of Southwest Jiao Tong University, 2013, (1):147-153.
 Lei W. Research on Evaluation and Optimization of Instrument Flight Procedure. Nanjing: Nanjing University of Aeronautics and Astronautics, 2008.
 Chao W. Study on the theory and simulation application of flight program operation. Nanjing: University of Aeronautics and Astronautics, 2012.
 Ken Chen. Application of uncertain multi-attribute decision making in the selection of PBN flight program. Transportation system engineering and information, 2012, 12 (3): 154-158.
 Fuqing Da, Jie L. Study on the optimization of flight procedures in the terminal area of small and medium sized airports based on PBN. Science Technology and Engineering, 2013, 20 (34): 9270-9274.
 Xiuming Z, Liang Z. Study on the integration of PBN and air traffic flow management. Aerospace Science and technology, 2014 (8): 14-17.
 Nuic A. User Manual for the Base of Aircraft Data (BADA) Revision 3.10. Atmosphere, 2010, 2010: 001.
 Desart B., Gillingwater D. and Janic M., Capacity Dynamics and the Formulation of the Airport Capacity/Stability paradox: A European Perspective. Journal of Air Transport Management. 2010, 16(2): 81-85.