Two-Stage Multicriteria Decision-Making Framework for Aircraft Conflict Resolution

Abstract

In this study, a two-stage multicriteria decision-making framework for aircraft conflict resolution in the air traffic management system is proposed. Aircraft conflict resolution has been commonly solved based on single-objective optimization. However, the existing approach may not provide a satisfactory solution to all stakeholders involved in the air traffic management system. Therefore, in the first stage of the proposed algorithm, a new conflict resolution strategy is presented based on multiobjective optimization in which multiple-objective functions are optimized simultaneously. Each objective function is designed to take into account the interests of various stakeholders, and the augmented epsilon-constraint method is applied to determine Pareto optimal solutions. In the second stage, the best compromise solution among the Pareto optimal solutions is determined based on the technique for order performance by similarity to the ideal solution. The numerical simulation results show that the proposed algorithm provides a better solution from the perspective of mitigating the competing interests among stakeholders than the existing approach based on single-objective optimization.