基于航迹数据的空中交通绿色绩效计算分析

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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.

Key words： air transportation greenhouse effect BP neural network estimation of fuel consumption flight trajectory data

Received: 03 August 2018

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X738

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	WEI Zhi-qiang
	HAN Xiao-lan
	HU Yang
	ZHANG Wen-xiu

Cite this article:

WEI Zhi-qiang,HAN Xiao-lan,HU Yang等. Calculation and analysis of air traffic green performance based on flight trajectory data[J]. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(3): 988-993.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2019/V39/I3/988

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