Artificial intelligence at airports

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School of Business | Bachelor's thesis
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Date
2020
Major/Subject
Mcode
Degree programme
Tieto- ja palvelujohtaminen
Language
en
Pages
24+5
Series
Abstract
The main aspiration of the thesis is to analyse and study the usage and effects of Artificial Intelligence in airports. Artificial Intelligence is one of the leading drivers in the constantly developing airport industry. The thesis examines how the main operations inside the airport utilize Artificial Intelligence. The importance of Artificial Intelligence can be acknowledged from the significance of it when airports drive towards cost-effectiveness, safety and economies of scale. The thesis studies the implementation and effects of artificial intelligence in the main processes of an airport through a literature review. These processes include the prediction of passenger flows and operations, security checkpoint, baggage handling and customer experience and satisfaction in general. The operations studied are mainly functioning with usual Artificial Intelligence and Machine learning methods such as visual and biometric analytics. Findings of the thesis indicate that the operating efficiency in airports can be potentially significantly improved with the aid of Artificial Intelligence. When adapted in line with airports core strategy and the risks taken into consideration clear enhancements on airport security, cost-structure and ground operations can be achieved. Rushed implementations can lead to negative effects on safety and operating efficiency which means that the methods include notable risks which airport need to thoroughly analyse before adding Artificial Intelligence into operations. The airports around the globe are in different phases regarding the implementations. The airports that rely on operations functioning with aid of Artificial Intelligence are mainly in the western more developed countries which indicates to high purchasing costs on the investments. However, when the methods are developing on at a rapid pace, the methods can be implemented in the less developed countries when the competition on the technology development drives the costs of the systems down.
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Thesis advisor
Vedernikov, Andrei
Keywords
artificial intelligence, machine learning, airport, automation
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