摘要
设计了一个实时的空中交通管制辅助决策支持系统。系统按照决策支持系统理论框架搭建,利用神经网络技术实现。叙述了系统的主要模型: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的实现过程。实验数据表明,神经网络的误差收敛性较好,满足了空中交通管制的实时性要求,系统具有较好的辅助决策效果。
A real-time decision support system of air traffic control is designed in this paper. The system is based on the theory of decision support system and on Neural Network. The three major modules are explained including airspace flow prediction, airspace status identification and conflict solution, which uses the technique of neural network to realize. The experiment shows that the neural network is good at error correcting, which can meet the needs of real-time air traffic control, and that the system can achieve good results.
出处
《交通与计算机》
2005年第3期90-93,共4页
Computer and Communications
