Optimization of Flows and Flexible Redistribution of Autonomous UAV Routes in Multilevel Airspace

The authors present a problem of the performance of Unmanned Aerial Vehicles (UAV)’s flights (group or single flight) for the decision of different target tasks in the city using information air navigation technology and methods of mathematical modeling in Artificial Intelligence (graph theory, Expert Judgment Method, methods of decision making in risk and fuzzy-logic, dynamic programming, etc.). The configuration and optimization of group flight routes for UAVs depend on the type of "target task". The algorithm of estimation performance of UAVs flights in the smart-town, an illustrative example of the optimization of UAVs flights is presented in the article.