Airports have undergone a significant digital evolution over the past decades, enhancing efficiency, effectiveness, and user-friendliness through various technological advancements. Initially, airports deployed basic IT solutions as support tools, but with the increasing integration of digital systems, understanding the detailed digital ecosystem behind airports has become crucial. This research aims to classify technological maturity in airports, using the access control process as an example to demonstrate the benefits of the proposed taxonomy. The study highlights the current digital ecosystem and its future trends and challenges, emphasizing the importance of distinguishing between different levels of technological maturity. The role of biometric technology in security access control is examined, highlighting the importance of proper identification and classification. Future research could explore data collection, privacy, and cybersecurity impacts, particularly regarding biometric technologies in Smart Access Level 4.0. The transition from Smart Access Level 3.0 to 4.0 involves process automation and the introduction of AI, offering opportunities to increase efficiency and improve detection capabilities through advanced data analytics. The study underscores the need for global legislative frameworks to regulate and support these technological advancements.
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Deze publicatie presenteert de resultaten van het Smartest Connected Cargo Airport Schiphol (SCCAS)-project: een tweejarig onderzoek naar logistieke innovaties die de concurrentiepositie van Schiphol op de luchtvrachtketen versterken. In dit project hebben KLM Cargo, Schiphol Nederland, Cargonaut, TU Delft en Hogeschool van Amsterdam samen met diverse partijen in de luchtvrachtketen nieuwe inzichten ontwikkeld om het afhandelingsproces op Schiphol te stroomlijnen en de productkwaliteit in temperatuurgevoelige ketens zoals bloemen en farma beter te beheersen.In Europa heeft Schiphol een sterke positie: het is de derde vrachtluchthaven na Frankfurt en Parijs. Door de beperking van het aantal beschikbare slots op Schiphol krijgen andere luchthavens zoals Brussel, Luik en Luxemburg de kans om extra lading aan te trekken. Het is daarom de ambitie van Schiphol zich te ontwikkelen tot de Europese voorkeursluchthaven voor logistiek hoogwaardige goederenstromen zoals e-commerce, farmaceutische producten en bloemen, en zich te onderscheiden door een efficiënt en betrouwbaar afhandelingsproces. Om die positie te bereiken zet Schiphol in op vier concrete innovatiedoelstellingen:- verbetering van transparantie in de keten door het delen van informatie;- inzicht in logistieke prestaties op basis van volledige en betrouwbare data over zendingen;- efficiënte en betrouwbare aan- en afvoer van luchtvrachtzendingen (landside pickup & delivery);- procesverbeteringen in de supply chains van temperatuurgevoelige producten.
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In this paper we propose a novel approach for validating a simulation model for a passengers' airport terminal. The validation approach is based on a "historical data" and "model-to-model" validation approach, and the novelty is represented by the fact that the model used as comparison uses historical data from different data sources and technologies. The proposed validation approach , which is presented as part of the IMHOTEP project, implements various data fusion and data analytics methods to generate the passenger "Activity-Travel-Diary", which is the model that is then compared with the results from the simulation model. The data used for developing the "Activity-Travel-Diary" comes from different sources and technologies such as: passengers data (personal mobile phone, apps), airport data (airport Wi-Fi, GPS, scanning facilities), and flight Information (flight schedules, gate allocation etc.). The simulation model is based on an agent-based simulation paradigm and includes all the passengers flows and operations within a terminal airport. The proposed validation approach is implemented in a real-life case study, Palma de Mallorca Airport, and preliminary results of the validation (calibration) process of the simulation model are presented.
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