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Intelligent Airport Management System

EasyChair Preprint no. 9493

6 pagesDate: December 19, 2022


King Abdul Aziz Airport in Jeddah receives over 3 million visitors who come to complete the pilgrimage in Mecca. The airport administration is challenged by the high number of passengers and must setup an optimum management airport system to provide a high level of services during their transition at the airport and to reduce the waiting time. In this work, we propose the use of genetic algorithms to build an intelligent airport management system for an optimal passenger transition time in order to improve the logistics during the Hajj seasons. The efficiency of the proposed system is demonstrated through a real case-study using real data from an airport, we were able to apply an NGSAII algorithm that proved to optimize up to 29% of time in some cases.

Keyphrases: Artificiel Intelligenc, Genetic Algorithms, Metaheuristics, Smart Airport management

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Mohammed Danah and Farid Bourennani and Abdullah Al-Shahrani},
  title = {Intelligent Airport Management System},
  howpublished = {EasyChair Preprint no. 9493},

  year = {EasyChair, 2022}}
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