A Study on Developing a Detailed Model for Efficient Airport Slot Allocation

With the growing imbalance between airport capacity and increasing air traffic demand, the importance of efficient slot allocation has become more significant. This study aims to develop a sophisticated model that can be practically applied, based on the conceptual slot allocation model previously proposed by Park et al.(2024). Focusing on Gimpo International Airport, the proposed framework consists of three modular components that incorporate key constraints such as airport capacity, simultaneous origin & destination (O-D) management, and apron availability. Each module operates by adjusting flight schedules when demand exceeds capacity or rejecting Slot Clearance Requests (SCRs) that fall outside the allowable time window. This study provides a foundation for automating and simulating the slot allocation process, enhancing airport coordination efficiency, and supporting data-driven decision-making in strategic slot policy.