管制员工作负荷回归模型及应用OACSTPCD
An Air Traffic Controller Workload Regression Model and Its Application
根据空中交通管制员工作的特点,以时间为度量量化了管制员工作负荷,并分析了进离场飞行架次对于管制员工作负荷的影响.以进离场飞行架次为自变量,管制员工作时间为因变量,首次采用神经网络建立管制员工作负荷非线性回归模型；针对BP算法的缺点,提出了改进的BP算法；最后应用回归模型,结合DORATASK方法实现了对昆明终端区空域的容量评估.
According to the features of air traffic controllers' work, this paper quantifies the workload in time dimension, and analyzes the impact of the approach and departure flight numbers on controllers' workload. An air traffic controller non-linear regression model is established for first time based on the neural network, with the approach and departure flight movements as the independent variables and the controllers' working hours as the dependent variables.…查看全部>>
申晨;韩松臣;孙樊荣
南京航空航天大学民航学院 南京210016南京航空航天大学民航学院 南京210016南京航空航天大学民航学院 南京210016
航空航天
管制员工作负荷神经网络改进BP算法回归模型DORATASK方法容量评估
air traffic controllers' workloadneural networkimproved BP algorithmregression modelDO-RAT ASK methodcapacity evaluation
《交通信息与安全》 2012 (1)
144-147,4
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