Smart Airport: Evaluation of Performance Standards and Technologies for a Smart Logistics Zone

Owing to the current context of Industry 4.0, the importance of smart technologies in airport systems have increased substantially. State-of-art applications for transportation planning incorporating baggage services, routing, security, and safety are an evolving domain for both practitioners and researchers dealing with aviation applications. In this context, this paper seeks to answer these questions: Which standards are aimed at a smart airport to make the transportation planning sound? Which propositions are made based on the obtained prioritized standards? This study deals with standards including Environmental Effects, Docking & Navigation, Object Detection & Protection, Communications & Integration, and Terminology using a practical decision support system based on an analytical hierarchy process (AHP) and fuzzy inference system (FIS). Computational results reveal that the Object Detection & Protection standard has an effect on a safe and smart system. To give an overview of this standard for a smart logistics zone (SLZ), an architecture of autonomous robot units and a baggage handling system is proposed in this study. The suggested approach analyzes the obstacle photos obtained by cameras and allows the end-user to control the calculations visually. This research could provide advice to airport planners about smart policies and improving operations.

Internet of Things as an optimization tool for Smart Airport concept

This paper covers the aspects of implementation of the Internet of Things concept into airport operations. It suggests areas that would be closely related to the Internet of Things. These areas mainly concern the handling of passengers or baggage and would be able to speed up the whole process significantly. The second part concerns the increase of passenger comfort by providing various information during their stay at the airport. This new system could significantly improve the quality of travel. In the last part, this paper discusses options for implementation of the concept at various selected airports. It includes information on readiness of these airports for digital transformation and availability of the digital tools for such a transformation.

Big Data Analytics for Smart Airport Management

Smart airport management has drawn increasing attention worldwide for improving airport operational efficiency. Big data analytics is an emerging computing paradigm and enabler for smart airport management in the age of big data, analytics, and artificial intelligence (AI). This chapter will explore big data analytics for smart airport management from a perspective of PNG Jackson's International Airport. More specifically, this chapter first provides an overview of big data analytics and smart airport management and then looks at the impact of big data analytics on smart airport management. The chapter discusses how to apply big data analytics and smart airport management to upgrade PNG Jackson's International Airport in terms of safety and security, optimizing operational effectiveness, service enhancements, and customer experience. The approach proposed in this chapter might facilitate research and development of intelligent big data analytics, smart airport management, and customer relationship management.

Aeropuertos inteligentes: aceptación de la tecnología por parte de los pasajeros

En este trabajo se analiza la aceptación de las tecnologías que hacen de un aeropuerto un Aeropuerto Inteligente, por parte de los pasajeros españoles. En concreto, se comprueba cómo el uso de tecnologías autoservicio en los procesos de embarque, obtención de etiquetas de equipaje y facturación del equipaje aumenta la satisfacción del pasajero. También se muestra que el deseo de utilización de las nuevas tecnologías en estos procesos y del uso de videojuegos y pasaporte biométrico está relacionada con la edad de los pasajeros. This paper analyzes the acceptance of the technologies that make an airport an Smart Airport, by Spanish passengers. In particular, it is verified how the use of self-service technologies in the boarding, obtaining luggage tags and baggage check processes increases the passenger's satisfaction. It also shows that the desire to use new technologies in these processes and the use of video games and biometric passports is related to the age of the passengers.