Distributed AI Modeling and Simulation for Smart Airport Digital Twin Applications

This chapter overviews modeling and simulation methodology for smart airportAirport Digital TwinDigital Twin metaverseMetaverse applications, emphasizing the development of a distributed agent-based modelingAgent-Based Modeling implementation framework. It outlines current approaches and applications of modeling and simulation concerning optimization, sustainability, and digital transformation, along with theoretical, statistical, and empirical approximations to model validation and accuracy assessment. It also provides a rudimentary Agent-Based ModelingAgent-Based Modeling (ABM) (ABM) categorization and classification of current models. We provide a key perspective to airport planning model development, including resource allocation, workflow design principles, and process optimization. An example reference and design of distributed and intelligent agent architecture for a smart airportAirport is provided, along with the design elements for agent allocation, communication, and orchestration mechanisms for system architecture. Finally, we provide a series of inferences, insights, and principles to guide the design, development, and implementation of distributed AIDistributed AI and agent-based modelingAgent-Based Modeling and simulation methodologies for smart airport and nested smart cities’ methodological approaches.