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April 15, 2026Future TransportationOpen Access

A Bi-Objective Optimization Model for Integrated Gate Assignment and Departure Scheduling in Congested Airport Operations

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Authors

MTMelis Tan TaçoğluCTCaner Taçoğlu

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Overview

Develops a model to improve gate assignments and departure times in congested airports, suggesting better operational efficiency.

Key Points

  • The research aims to optimize gate assignments and departure schedules under congestion constraints at airports.
  • Developed a bi-objective mixed integer linear programming model
  • Considered factors like passenger transfer times, taxi operations, and runway separation
  • Used the epsilon constraint method to generate Pareto-efficient solutions
  • Conducted computational experiments on congested airport scenarios with 20 flights
  • Increasing gate capacity from 3 to 5 improved the average value of Objective 1 from 1.37 to 0.92
  • Reduced average apron usage from 10.00 to 4.00 flights
  • Increasing apron usage from 3 to 5 assignments decreased standard deviation of departure time deviations from 8.0 to 7.6 min
  • Showed that selective apron usage enhances schedule stability

Cite This Study

Taçoğlu et al. (2026) studied this question.

synapsesocial.com/papers/69df2bece4eeef8a2a6b0e75https://doi.org/10.3390/futuretransp6020086
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