Dynamic Airspace Resectioning for Controller Workload Balance
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Solution Overview
Problem
Air traffic management systems face challenges in maintaining workload balance among air traffic controllers due to varying air traffic demands, leading to inefficiencies and potential safety risks.
Innovation Solution
A system and method for dynamically reconfiguring airspace sectors based on anticipated workload imbalances using a resectorization operations manager that adjusts sector boundaries and communication channels to redistribute controller workload uniformly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If airspace is divided into fixed sectors assigned to controllers, then air traffic control can be organized and managed, but workload imbalance occurs between controllers when air traffic varies
Solution Approach 1:
The patent implements dynamic sector configuration that automatically adjusts sector boundaries and controller assignments based on real-time air traffic workload. The system monitors air traffic density in different airspace regions and reconfigures sectors dynamically to balance controller workloads, transforming the static sector assignment into an adaptive system that responds to changing traffic conditions.
Solution Approach 2:
The system changes key parameters including sector boundaries, controller-sector assignments, and communication channel allocations based on monitored air traffic conditions. By adjusting these parameters dynamically, the system optimizes workload distribution across controllers while maintaining effective air traffic management.
2Productivity
If sectors are reconfigured to balance workload, then controller efficiency improves, but system complexity and reconfiguration overhead increase
Solution Approach 1:
The patent implements a self-service system where the sector configuration automatically adjusts based on monitored air traffic conditions without requiring manual intervention. The system autonomously detects workload imbalances, determines optimal reconfigurations, and implements changes to balance controller workloads, reducing operational complexity while maintaining high efficiency.
Solution Approach 2:
The system continuously monitors air traffic workload across different sectors and uses this feedback to dynamically adjust sector configurations. The feedback loop enables the system to respond to changing conditions in real-time, optimizing controller efficiency while managing reconfiguration complexity through automated decision-making.
Data Source
AI summary
A method for managing air traffic in one or more sectors of a controlled airspace is disclosed, including defining a first sector configuration of at least two adjacent sectors in the airspace, each sector being assigned to a station controller in an air traffic control station and a communication channel. The method includes monitoring, for each sector, an anticipated level of air traffic controller workload over a selected time interval, and detecting a difference greater than a pre-selected threshold in anticipated levels of air traffic controller workload in the two adjacent sectors over the selected time interval. The method includes redefining the first sector configuration into a second sector configuration of the two adjacent sectors, such that the difference in controller workload in the two adjacent sectors is below the threshold, and then implementing the second sector configuration.