Support Systems, Air Traffic Control Decision Support Based On Neural Network Technology

For recent ten years, with the rapid development of economy in our country, there is a significant growth of air traffic flow. Huge work pressure is brought invisibly to the air traffic controllers. The incidents of air traffic have increased for recent years because of this. We need a new tool to detect air traffic conflict, produce solution ways and reduce contrallers'work pressure.In this paper, we expatiate on essentiality of establishing air traffic assistant decision support system. The system was established in according to the theory of decision support system (DSS). We finish the main three modules: airspace flow prediction, airspace status identification and conflict solution which utility the technique of neural network to realize. The system can produce automatically feasible conflict adjustment solutions and choose one solution that is optimization in the aspect of economy as prepositional solution. At last, we use stimulant data to prove that the system has achieved anticipative effect.