Airport congestion management methods and systems based on flexible costs

By establishing demand-side and supply-side intelligent agent models and employing multi-agent reinforcement learning algorithms to optimize airport congestion management, the problem of insufficient real-time response capability in existing technologies has been solved, enabling real-time and refined control of airport congestion management and improving operational efficiency and fairness.

CN122311629APending Publication Date: 2026-06-30NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Filing Date
2026-04-03
Publication Date
2026-06-30

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Abstract

This invention belongs to the field of airport congestion management technology, specifically relating to a flexible cost-based airport congestion management method and system. The flexible cost-based airport congestion management method of this invention can achieve online linkage optimization of supply-side airport time slot cost calculation and demand-side airline flight rollout / adjustment response, and calculate time slot capacity utilization schemes. Based on the two-layer interaction relationship between the supply and demand sides, this invention integrates key factors such as flight time slot adjustment boundaries, airport capacity limitations, time slot saturation control, flight flow balance, airline cost differences, fairness constraints, and plan disturbance control into a unified modeling and decision-making framework. Through a closed-loop interaction mechanism of "flexible cost-response-feedback," it obtains capacity utilization schemes for each time slot, thereby satisfying operational constraints while considering fairness and plan stability, improving the real-time performance, precision, and effectiveness of airport congestion management. This method can be widely applied to business scenarios such as congestion mitigation, demand regulation, and time slot resource allocation in airport operation management, improving the technical system of real-time airport congestion management.
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