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Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
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The airport gate assignment problem: a survey.

Abdelghani Bouras1, Mageed A Ghaleb1, Umar S Suryahatmaja1

  • 1Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia.

Thescientificworldjournal
|December 16, 2014
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Summary
This summary is machine-generated.

This paper surveys the airport gate assignment problem (AGAP), focusing on optimizing gate allocation for passenger convenience and airport efficiency. It reviews mathematical models and algorithms for real-time solutions.

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Area of Science:

  • Operations Research
  • Transportation Science
  • Artificial Intelligence

Background:

  • The airport gate assignment problem (AGAP) is a critical daily challenge for airport operations managers.
  • Existing research addresses AGAP complexity, aiming to balance passenger convenience with operational efficiency.

Purpose of the Study:

  • To provide a comprehensive survey of the state-of-the-art solutions for the airport gate assignment problem.
  • To detail various methods, including mathematical formulations and algorithmic approaches, for solving AGAP.

Main Methods:

  • Review of theoretical and real-world AGAP scenarios.
  • Description of mathematical formulations for AGAP.
  • Analysis of resolution methods: exact algorithms, heuristic algorithms, and metaheuristic algorithms.

Main Results:

  • Compilation of diverse AGAP methodologies.
  • Identification of approaches for real-time gate assignment updates.
  • Overview of established and emerging solution techniques.

Conclusions:

  • The survey synthesizes current knowledge on AGAP solutions.
  • It highlights the need for dynamic, real-time gate assignment capabilities.
  • Future research directions are proposed to inspire new problem-solving avenues.