Abstract
Flight procedure devising is an important part to ensure flight safety, and the benchmark of aircraft safe operation. Therefore, if flight procedures are not suitable for the operating environment will also produce serious potential safety hazards. Based on the track information of the actual operation of an airport, combined with BP neural network and K-means algorithm, a new track clustering model is constructed. Through the cluster analysis of the departure track of the airport, the clustering center of the track is obtained. Combined with the inherent flight procedure of the airport, it is found that there are great differences between the actual operation track and the inherent flight procedure. After investigating and analyzing the causes of the differences, the program improvement scheme is put forward. Finally, the track clustering results are compared with the flight program optimization results, and the simulation analysis is carried out by using air top software. The results show that the new program can better adapt to the actual operation of the aircraft.
Receipt date: 2xxx-xx-xx Revision date: 2xxx-xx-xx.
*Fund project: Special funds for basic scientific research in central universities (3122017061): Guangdong University scientific research Platform and projects (21Z5221): National Key research and development plan (2020YFB1600100)
The first author: Cui Haiyang (1991-), Male, Schoolteacher, The main research direction is the flight program design optimization, Flight conflict detection and relief, 812329866@qq.com
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References
Chen, K.: Research on the layout optimization method of flight procedures and navigation facilities in the terminal area. Southwest Jiaotong University (2013)
Chao, W.: Theoretical Method and Simulation Application of Flight Program Operation Evaluation. Nanjing University of Aeronautics and Astronautics (2012)
Conflict evaluation and simulation. The Civil Aviation Flight Academy of China (2020)
Wenfei, W.: The Impact of Aircraft Emissions on Environmental PM2.5 in The Airport Area. Civil Aviation University of China (2020)
Wenjie, W.: Study on Emission Reduction Effect of Incoming Aircraft. Nanjing University of Aeronautics and Astronautics
Yuefeng, X.: Exit Noise Assessment and Control Based on Green Flight. Nanjing University of Aeronautics and Astronautics
Ting, W.: Study of Optimization Optimization for Reduce Noise Annoyance. Civil Aviation University of China (2017)
Zhen, W.: Effect of Implementing PBN Procedure on Airport Aviation Noise. Civil Aviation University of China (2017)
Dongya, L.: Study on Airport Noise Assessment and Control Based on the CDA Program. Nanjing University of Aeronautics and Astronautics (2017)
Yahang, Q.: Evaluation of the Noise Reduction Measures Based on the Flight Procedure. Civil Aviation University of China
Huiyu, H.: Airport Noise Prediction Study of Flight Delay Recovery at Multi-runway Airports. Civil Aviation University of China
Xuerui, C.: A Flight Program Optimization Study for Reducing the Impact of Airport Noise. Civil Aviation University of China
Hongxiang, L.: Quality Analysis of Flight Procedures Based on Flight Data. The Civil Aviation Flight Academy of China
Ge, Q.: Research on the Key Technology of Flight Program Optimization Design. Nanjing University of Aeronautics and Astronautics (2015)
Tsuchiya, T., Hasegawa, T., Mori, R.: Optimization of approach trajectory considering the constraints imposed on flight procedure design. In: 2014 Asia-Pacific International Symposium on Aerospace Technology (2014)
Wilson, S.R., Swieringa, K.A., Leonard, R.D., et al.: Statistical engineering approach to improve the realism of computer-simulated experiments with aircraft trajectory clustering. Qual. Eng. 29(2), 167–180 (2016)
Mcfadyen, A., Martin, T.L., O'Flynn, M., et al.: Aircraft trajectory clustering techniques using circular statistics. IEEE Aerospace Conference. IEEE (2016)
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Haiyang, C., Zhaoning, Z., Tingting, L., Qingyu, M., Jiechun, W. (2023). Optimization of Flight Procedure Method Based on Track Clustering. In: Chinese Society of Aeronautics and Astronautics (eds) Proceedings of the 10th Chinese Society of Aeronautics and Astronautics Youth Forum. CASTYSF 2022. Lecture Notes in Electrical Engineering, vol 972. Springer, Singapore. https://doi.org/10.1007/978-981-19-7652-0_33
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DOI: https://doi.org/10.1007/978-981-19-7652-0_33
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