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Authors:
Alain-Jérôme Fougères
Ouzna Oukacha
Moïse Djoko-Kouam
Egon Ostrosi
Keywords: automatic baggage handling; autonomous industrial vehicles; fuzzy agent-based simulation; airport 4.0
Abstract:
Industry 4.0 offers a set of methods, techniques, tools, and technologies that are naturally relevant for the development of services in the airports of the future. Integrating these different concepts into an airport is not without its challenges, given the complexity of the systems in place. Modelling and simulation phases have therefore become essential to ensure the success of these integrations. In this paper, we presented a case study involving the simulation of autonomous vehicle fleets for baggage handling in a simplified airport, in which each vehicle is simulated by a fuzzy agent. We established a Unified Modeling Language (UML) model of the system, providing both static and dynamic views of the circuit and the vehicles. Three different strategies were tested, with the goal of determining the number of Autonomous Industrial Vehicles (AIV) that should circulate to handle the baggage arriving at the two entry points. Then, we presented our simulation results. These results allowed us to highlight the impact of various parameters, such as the number of simulations, the number of bags processed, the total simulation duration, and the total number of bags processed per hour.
Pages: 52 to 59
Copyright: Copyright (c) IARIA, 2025
Publication date: September 28, 2025
Published in: conference
ISBN: 978-1-68558-303-3
Location: Lisbon, Portugal
Dates: from September 28, 2025 to October 2, 2025