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Multi-airport system flight slot optimization method based on absolute fairness.

Yafei Li1, Yuxi Liu1

  • 1School of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China.

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|December 5, 2023
PubMed
Summary
This summary is machine-generated.

This study optimizes flight slot allocation in multi-airport systems for improved efficiency and fairness. A new method using rolling capacity constraints enhances accuracy and stability in flight scheduling.

Keywords:
absolute fairnessflight slot optimizationmulti-airport systempeak demandrolling constraint

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Area of Science:

  • Aviation Operations Research
  • Transportation Systems Engineering
  • Operations Research

Background:

  • Increasing civil aviation traffic strains limited flight slot resources.
  • Effective flight slot allocation is crucial for multi-airport system operational efficiency.
  • Optimizing flight schedules across multiple airports enhances system-wide rationality.

Purpose of the Study:

  • To develop a multi-objective optimization model for flight slot allocation in multi-airport systems.
  • To enhance fairness in flight slot distribution among airports.
  • To improve the overall operational efficiency and coordination of multi-airport systems.

Main Methods:

  • Established a multi-objective flight slot allocation optimization model with constraints on airport capacity, shared waypoint capacity, and aircraft turnaround time.
  • Incorporated a novel rolling capacity constraint method for enhanced accuracy.
  • Utilized the Gurobi solver to optimize for minimal flight schedule displacement and maximum deviation from absolute fairness.

Main Results:

  • The rolling capacity constraint method significantly improved the accuracy and stability of flight slot allocation results.
  • Flight slot allocation based on absolute fairness of peak demand enhanced allocation fairness.
  • The peak-demand fairness method achieved higher fairness with smaller slot displacement compared to non-peak methods.

Conclusions:

  • The proposed flight slot optimization method effectively improves coordination and efficiency in multi-airport systems.
  • The rolling capacity constraint method is a key innovation for accurate and stable flight slot allocation.
  • Fairness-based allocation, particularly considering peak demand, leads to superior and more stable outcomes.