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Collaborative optimization model and algorithm for airport capacity and traffic flow allocation.

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  • 1College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan, Sichuan, China.

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This study presents a novel method to estimate airport capacity and optimize flight schedules, boosting on-time performance by 6%. It maximizes airport capacity and air traffic demand without costly physical expansions.

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Area of Science:

  • Air Traffic Management
  • Operations Research
  • Airport Capacity Optimization

Background:

  • Efficient airport capacity utilization is crucial for meeting air traffic demand without physical expansion.
  • Accurate estimation of actual airport capacity is essential for improving operational efficiency.

Purpose of the Study:

  • To propose a methodology for estimating airport capacity and optimizing flight allocation.
  • To enhance airport capacity utilization and air traffic demand management.

Main Methods:

  • Combined empirical and analytical approaches using historical data to create a capacity envelope.
  • Developed a collaborative optimization model for airport capacity and traffic demand.
  • Implemented an improved optimization algorithm and introduced a priority ratio for dynamic management.

Main Results:

  • The proposed methodology accurately approximates airport capacity.
  • An optimal flight allocation scheme was generated, enhancing synergy between traffic flow and airport capacity.
  • Achieved a 6% increase in Flight On-time Performance rate in a case study.

Conclusions:

  • The developed method effectively maximizes airport capacity and traffic flow demand.
  • Demonstrated the feasibility and value of the approach for improving airport operations without physical expansion.