PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
Synapse
⌘+K
Synapse
April 15, 2026Future TransportationOpen Access

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

View Full Paper
Ask AI
Bookmark
Share

Authors

MTMelis Tan TaçoğluCTCaner Taçoğlu

Discussion

Loading...

Member takes

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
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Airport Taxiway–Gate Joint Scheduling Problem: A Multi-Objective Optimization Approach Based on a Spatiotemporal Graph2026 · 2 citations
  2. 2Sustainable Optimization in Air Transport: Hybrid Particle Swarm and Tabu Search Algorithm for the Multi-Objective Airport Gate Assignment Problem2026 · 1 citations
  3. 3Gate Assignment Algorithm for Airport Peak Time Based on Reinforcement Learning2024 · 1 citations
  4. 4Toward Sustainable Airport Surface Operations: A Multi-Objective Collaborative Scheduling Method for Runway-Taxiway Systems Balancing Punctuality, Efficiency, and Carbon Footprint Control2026
  5. 5An Optimization Model for Flight Rescheduling from an Airport’s Centralized Perspective for Better Management of Demand and Capacity Utilization2024 · 2 citations