基于复杂网络的管制员负荷评估

Controller Workload Evaluation Based on Complex Network

空中交通管制员是管制工作的核心。管制员所承受的工作负荷的大小对其工作状态具有直接影响,分析确定管制员工作负荷对维护空中安全具有重要意义。文章提出一种融入速度障碍法的复杂网络对管制员工作负荷进行评估的方法。首先利用速度障碍法,对航空器的位置信息、速度信息等因素进行综合分析,获得对空中状况更合理、更符合实际的描述,然后对复杂网络的相关指标数据进行提取分析,利用复杂网络的属性对管制员负荷进行评估。仿真结果表明,管制员所管制的航空器数量与管制员的工作负荷约呈指数函数关系,若管制数量控制在15架次以内,管制员的工作负荷较为合理。该模型能够较好地反映管制员负荷,为管制员负荷评价提供了参考。

Air traffic controllers are at the heart of the control work.The magnitude of the controller workload has a direct impact on its working status,and the controller workload analysis is of great significance to maintaining air safety.This paper proposes a complex network integrating the speed obstacle method to evaluate the workload of controllers.First,the velocity obstacle method is used to comprehensively analyze the location information,speed information and other factors to obtain a more reasonable and realistic description of air conditions.Then the relevant index data of complex networks are extracted and analyzed,and the attributes of complex networks are used to evaluate the controller load.Simsimulation results show that the number of aircraft controlled by a controller is an exponential function to the controller workload and a controller should control less than 15 aircrafts.The model reflects the controller load and provides a reasonable method for the controller load evaluation.