Calculation and analysis of air traffic green performance based on flight trajectory data
WEI Zhi-qiang1, HAN Xiao-lan1, HU Yang1, ZHANG Wen-xiu2
1. College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China; 2. Department of Operation Control, Xiamen Airlines, Xiamen 361011, China
Abstract:In order to study the impact of ATC operations on the aircraft's greenhouse effect quantitatively and visually, firstly, the BP neural network matching model of flight parameters and flight trajectory was established based on the quick access recorder (QAR) data. Secondly, the model was verified based on the QAR data. Then the greenhouse effect characterization parameter calculation model was established. Finally, pollutant emissions and total temperature change potential were estimated based on the test data of flight track on the radar simulator, and the differences in the command of different controllers were compared and analyzed afterward. The results show that the relative error between the estimated fuel flow calculated by the estimation model of fuel consumption and the real value recorded by QAR was less than 2%. The results of evaluating controllers' performance by using fuel consumption and greenhouse effect index were different. The research results can be used to quantitatively analyze the impact of ATC operations on the greenhouse effect.
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WEI Zhi-qiang, HAN Xiao-lan, HU Yang, ZHANG Wen-xiu. Calculation and analysis of air traffic green performance based on flight trajectory data. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(3): 988-993.
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