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Copyright of Science-Based Technologies is the property of National Aviation University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Science-Based Technologies is the property of National Aviation University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electronics & Control Systems is the property of National Aviation University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: The risk of critical proximities of several aircraft and appearance of multi-aircraft conflicts increases under current conditions of high dynamics and density of air traffic. The actual problem is a development of methods for optimal multi-aircraft conflicts resolution that should provide the synthesis of conflict-free trajectories in three-dimensional space. Methods: The method for optimal resolution of multiaircraft conflicts using heading, speed and altitude change maneuvers has been developed. Optimality criteria are flight regularity, flight economy and the complexity of maneuvering. Method provides the sequential synthesis of the Pareto-optimal set of combinations of conflict-free flight trajectories using multiobjective dynamic programming and selection of optimal combination using the convolution of optimality criteria. Within described method the following are defined: the procedure for determination of combinations of aircraft conflict-free states that define the combinations of Pareto-optimal trajectories; the limitations on discretization of conflict resolution process for ensuring the absence of unobservable separation violations. Results: The analysis of the proposed method is performed using computer simulation which results show that synthesized combination of conflict-free trajectories ensures the multi-aircraft conflict avoidance and complies with defined optimality criteria. Discussion: Proposed method can be used for development of new automated air traffic control systems, airborne collision avoidance systems, intelligent air traffic control simulators and for research activities. [ABSTRACT FROM AUTHOR]

Purpose: Current global trends of air traffic growth cause the increasing of number of aircraft conflicts. The actual problem is a development of new methods for conflict resolution that should provide the synthesis of conflict-free trajectories in three-dimensional space according to different flight efficiency criteria. Methods: The problem of multi-objective resolution of potential conflict between two aircraft in threedimensional space is considered. The method of multi-objective resolution of conflict between two aircraft using heading, speed and altitude change maneuvers has been developed. Described method provides the synthesis of conflict-free flight trajectory according to criteria of flight regularity, flight economy and the complexity of maneuvering based on dynamic programming. The continuous-time and discrete-time equations of multi-objective dynamic programming for determining the set of Pareto-optimal estimations of conflict-flight trajectories are shown. The synthesis of Pareto-optimal trajectories is carried out using the forward procedure of discrete multi-objective dynamic programming. The simulation of flight trajectories is performed using the special model of controlled aircraft motion. The selection of optimal conflict-free trajectory from the set of Pareto-optimal trajectories is carried out using the convolution of optimality criteria. Within described method, the following procedures have been defined: for prediction of separation minima violations; for aircraft states and controls discretization; for interpolation of trajectories efficiency estimations according to defined optimality criteria. Results: The analysis of the proposed method is performed using computer simulation which results show that computed optimal conflict-free trajectory ensures the conflict avoidance and complies with defined optimality criteria. Discussion: The main advantages of the method are: heading, speed and altitude change maneuvers are used for conflict avoidance; the multi-objective optimization of conflict-free trajectories is applied; the using of dynamic programming enhances the computational efficiency. Proposed method can be used for development of advanced conflict resolution tools for automated air traffic control systems. [ABSTRACT FROM AUTHOR]