Implementation of artificial intelligence at airports

Martin Jágerský, A. Tomová
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Abstract

This paper deals with the trend of implementation artificial intelligence systems at airports, its meaning and impact on the operational performance and functioning of the airports themselves. After summarizing the theoretical knowledge and examining the current state of the problem, there is created a raster of selected crucial operational processes of airports in which artificial intelligence has been implemented so far. The processing of this raster is based primarily on findings of the implementation of AI systems at five selected hub airports. In the paper, there is also examined a status and prospects of the implementation of artificial intelligence in the form of a questionnaire, especially at airports with a smaller number of handled passengers. This paper also discusses the operational and security implications of this implementation, such as faster check-in, easier baggage handling, easier traveling with biometric technologies, improved security controls at airports, improved operational performance with airport robots and more effective elimination of spreading the diseases at airports. The subject of possible economic and sociological consequences is also approached, due to the possible change in the nature of job from the point of view of airport employees and the creation of a certain kind of cooperation between them and artificial intelligence. The conclusions of this paper also include a proposal for a stronger representation of this area in the study program "air transport" with subsequent possible innovation or creation of new school subjects, in order to gain a deeper knowledge to new graduates in this field.
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在机场实施人工智能
本文讨论了在机场实施人工智能系统的趋势,它的意义和对机场本身的运行性能和功能的影响。在总结了理论知识并检查了问题的现状后,创建了一个选定的机场关键操作流程的栅格,其中人工智能已经实施到目前为止。该栅格的处理主要基于在五个选定的枢纽机场实施人工智能系统的结果。在本文中,还以问卷的形式考察了人工智能的实施现状和前景,特别是在处理乘客数量较少的机场。本文还讨论了这一实施对运营和安全的影响,例如更快的办理登机手续,更容易的行李处理,更方便的生物识别技术旅行,改善机场的安全控制,提高机场机器人的运营绩效,以及更有效地消除机场疾病的传播。从机场员工的角度来看,由于工作性质的可能变化,以及他们与人工智能之间某种合作的产生,也探讨了可能的经济和社会学后果的主题。本文的结论还包括在研究计划“航空运输”中加强这一领域的代表性的建议,随后可能的创新或创建新的学校科目,以便为该领域的新毕业生获得更深入的知识。
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