Airport Slot Allocation Optimization

Research Problem

Airport slots determine when airlines are allowed to take off and land at highly congested airports. At coordinated airports, demand for slots often exceeds available capacity, making slot allocation a complex and highly regulated process governed by the Worldwide Airport Slot Guidelines (WASG).

Slot coordinators must evaluate thousands of airline requests while balancing fairness, historic rights, operational constraints, and passenger connectivity considerations. Today, this process is still largely manual and rule-based, limiting the ability to explore alternative allocations or optimize system-wide outcomes.

Contributions

Our research develops advanced optimization and data-driven approaches to support slot coordinators in allocating airport slots more efficiently.

Key contributions include:

  • Optimization models that allocate slots while complying with WASG regulatory constraints
  • Large-scale neighborhood search algorithms capable of solving realistic airport instances
  • Passenger-centric slot allocation approaches that preserve important passenger connections
  • Data-driven models that identify critical connecting flows using historical flight and passenger data
  • Empirical analysis of airline reactions to slot displacement

These methods help improve airport connectivity, airline schedules, and passenger travel times.

Selected Publications

Research Funding

  • European Regional Development Funds
    Airport Slot Allocation Process: Advancing Current Practices and Guidelines (2018–2021)

  • Civil Aviation Authority of Singapore
    Airfield Management and Economics (2019-2021) Total Award: SGD 520,145

  • National Natural Science Foundation of China
    Optimization Techniques for Collaborative and Integrated Slot Allocation for a Network of Airports (2025–2029)
    Total Award: USD 383,943