智能机场管理系统

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI:10.1109/ICAISC56366.2023.10085083

Mohammed Abdullah Danah, F. Bourennani, Abdullah Saad Musaed Al-Shahrani

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引用次数: 0

摘要

吉达的阿卜杜勒·阿齐兹国王机场每年接待300多万游客，他们来麦加完成朝圣。机场管理面对大量乘客的挑战，必须建立一个最佳的机场管理系统，为他们在机场的过渡期间提供高水平的服务，并减少等待时间。本文提出利用遗传算法构建智能机场管理系统，优化旅客中转时间，以改善朝觐期间的物流。通过使用机场的真实数据进行实际案例研究，我们能够应用NGSAII算法，在某些情况下，该算法的优化率高达29%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Intelligent airport management system

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.

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2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)

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