Conflict allocation method of flight training control based on ADSB data

Abstract

Driven by the "civil aviation power" strategy, the pace of development of air transport industry is accelerating, the growth rate of air traffic flow is accelerating year by year, and the demand for pilots is increasing. The pressure of civil aviation pilot training task is increasing year by year. In the case of limited available resources in the airspace, the increasing flight training will inevitably lead to more and more serious flight conflicts, greatly increase the load of controller deployment conflicts, and affect the safety of control operation. In the control operation, the basic unit of civil aviation controller's work is a control sector, and its workload is mainly reflected in air command and inter sector handover. Among them, air command deployment flight conflict is a very key work. Using the real-time ADSB data of the training airport, this paper applies the artificial intelligence technology to the problem of control conflict allocation. The controller on duty obtains the aircraft flight status information in the sector by observing the air traffic control radar screen, analyzes the current overall operation situation in the sector and predicts the possibility of conflict in the future, After determining that there may be a conflict, issue deployment instructions to the conflicting aircraft according to the control operation rules and control experience.