基于航迹数据的空中交通绿色绩效计算分析

为定量、直观地反映空管运行指挥对飞机温室效应的影响，首先基于快速存取记录器（QAR）记录数据建立飞行参数与飞行轨迹的BP神经网络匹配模型；然后基于QAR数据对模型进行验证；之后建立了温室效应表征参数计算模型；最后根据雷达模拟机上的飞行航迹试验数据，估算出污染物排放量和总温变潜势大小，并对不同管制员的指挥差异性进行对比分析.结果表明，利用油耗估算模型计算得到的燃油流量估算值和QAR记录的真实值之间的相对误差不超过2%，运用油耗指标与温室效应指标评估管制员水平结果不同.研究结果可以用于定量分析空管运行对温室效应的影响.

Calculation and analysis of air traffic green performance based on flight trajectory data

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.