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A bi-objective integer programming model for partly-restricted flight departure scheduling.

Han Zhong1, Wei Guan1, Wenyi Zhang1

  • 1MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing, China.

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Summary
This summary is machine-generated.

This study addresses air traffic departure scheduling for lower-priority airports near high-priority ones. A new model and algorithm improve efficiency, equity, and regularity for restricted flight departures.

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Area of Science:

  • Operations Research
  • Transportation Science
  • Aviation Management

Background:

  • Traditional air traffic departure scheduling (DSP) models assume independent airports.
  • Real-world scenarios often involve adjacent airports with varying priorities, impacting scheduling.
  • Lower-priority airports may need to yield departures to higher-priority ones during peak hours.

Purpose of the Study:

  • To develop a model for departure scheduling at partly-restricted, lower-priority airports within a multi-airport system.
  • To address the scarcity of research on DSP under these specific conditions.
  • To improve operational efficiency, equity, and regularity for restricted flight departures.

Main Methods:

  • Formulation of a bi-objective integer programming model for departure scheduling.
  • Development of an adapted tabu search algorithm to solve the complex scheduling problem.
  • Validation through a case study at Tianjin Binhai International Airport.

Main Results:

  • The proposed model and algorithm effectively handle departure scheduling for lower-priority airports.
  • Demonstrated improvements in operational efficiency for the studied airport.
  • Achieved superior equity and regularity among restricted flight flows.

Conclusions:

  • The developed bi-objective model and tabu search algorithm offer a viable solution for complex, multi-airport departure scheduling.
  • The findings are applicable to airports facing priority-based restrictions.
  • The approach enhances overall air traffic management in congested regions.