Izvalov O. Software for the automatic control system of the air traffic modeling complex

The thesis deals with actual issues of the development of new models, methods and means of automation in the control process of the air traffic modeling complex, the latter being a complex organizational and technical object. Applying the software developed decreases the time spent for air traffic generation for the training tasks, thus enabling individual approach to the air traffic controllers' practical training. The forward and inverse problems in the air traffic modeling were outlined. The methods of identification and control of the complexity parameter in air traffic control were analyzed and the Traffic Load Index parameter was defined to be optimal for using in the inverse problem solution. The objects used in the air traffic generation process were formalized, including air traffic elements and the requirements to its generation. The method of ensuring that the air traffic intensity, potentially-conflicting situations parameters, emergencies and the complexity of the generated air traffic will fit the target values was proposed and substantiated. For the first time the algorithms of air traffic sector data pre-processing and air traffic generation were developed. These algorithms solve the automation task in the air traffic modeling complex control. The Monte-Carlo method was proposed to control the flows structure and aircraft types variety in the modeled air traffic. The air traffic generation module was experimentally tested. Imitation modeling method was used to prove that the generated air traffic parameters fit the requirements.