摘要
随着民用航空运输的迅速发展,为满足更大的需求,减少管制人员的工作压力和工作量,设计了一个实时的空中交通管制决策支持系统。系统按照决策支持系统理论框架搭建,包括数据库、模型库、方法库、知识库和人机界面,其中主要模型和方法:空域流量预测模块,空域状态识别模块和冲突解决方案产生模块利用神经网络技术来实现,其中空域流量预测模块利用模糊神经网络技术。系统通过与近期真实数据相结合,进行仿真,取得较好的效果。
With rapid development of civil aviation, we designed a real - time assistant decision support system of air traffic control based on neural network in order to meet the increasing demands. The system was able to reduce the pressure and workload of controllers. The system was established according to the theoretical structure of decision support system （DSS）. It mainly contained 3 modules： airspace flow prediction, airspace status identification and conflict solution. The system used actual data to test the feasibility and received better effect.
出处
《计算机仿真》
CSCD
2006年第4期245-247,264,共4页
Computer Simulation
关键词
空中交通管制
决策支持系统
神经网络
Air traffic control
Decision support system
Neural network
