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Optimization of terminal area arrival flight sorting based on an improved sparrow search algorithm.

Weixi Zhao1, Te Liang2

  • 1Faculty of Civil Aviation and Aeronautical, Kunming University of Science and Technology, Kunming, China.

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This study introduces an improved sparrow search algorithm (ISSA) to optimize arrival flight sequencing at busy airports, significantly reducing total delay times (TDTs) compared to traditional methods.

Keywords:
Flight sequenceair traffic managementoptimization algorithmsparrow algorithm

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Area of Science:

  • Aviation Operations Research
  • Artificial Intelligence in Transportation
  • Optimization Algorithms

Background:

  • Airspace congestion and flight delays are significant challenges in modern air traffic management.
  • Optimizing arrival flight sequencing in terminal areas of multirunway airports is crucial for efficiency.

Purpose of the Study:

  • To develop an optimization model for arrival flight sequencing in multirunway airport terminal areas.
  • To propose an improved sparrow search algorithm (ISSA) for enhanced flight sequencing.

Main Methods:

  • An optimization model considering multiple runways, slant intervals, and moving flight positions was established.
  • An improved sparrow search algorithm (ISSA) was developed, incorporating Chebyshev chaotic mapping, golden sine strategy, and variable neighborhood strategy.
  • The ISSA's performance was validated against other algorithms using benchmark test functions and real-world airport data.

Main Results:

  • The ISSA demonstrated superior performance compared to Particle Swarm Optimization, Whale Optimization Algorithm, and Genetic Algorithm.
  • Experiments at Kunming Changshui Airport showed reductions in total delay times (TDTs) of 55.3% for 29 aircraft and 20.5% for 147 aircraft.
  • The ISSA significantly reduced TDTs, outperforming the first-come-first-served algorithm.

Conclusions:

  • The proposed ISSA is effective in optimizing arrival flight sequencing at multirunway airports.
  • This method offers a viable solution for reducing flight delays, particularly during peak hours.
  • The study provides theoretical support for optimizing terminal area flight sequencing and mitigating air traffic congestion.