This study introduces a novel approach to optimizing air traffic complexity within moving sectors, a concept designed for flow-centric air traffic management. Moving sectors dynamically allocate controller workload by grouping aircraft with similar trajectories and interactions. A trajectory adjustment method is proposed, incorporating Grey Wolf Optimization, to reduce traffic complexity through minor lateral path modifications. This approach maintains operational constraints, such as handover times, while ensuring minimal disruption to aircraft trajectories. Two case studies demonstrate significant improvements, with reductions in average traffic complexity of up to 27% and peak complexity loads of up to 30%. These findings highlight the potential of flow-centric procedures to enhance airspace capacity, ensuring safety and efficiency in future air traffic management systems.      «

This study introduces a novel approach to optimizing air traffic complexity within moving sectors, a concept designed for flow-centric air traffic management. Moving sectors dynamically allocate controller workload by grouping aircraft with similar trajectories and interactions. A trajectory adjustment method is proposed, incorporating Grey Wolf Optimization, to reduce traffic complexity through minor lateral path modifications. This approach maintains operational constraints, such as handover t...     »