234: Spatiotemporal Modeling Integration Framework: Indoor Computational Fluid Dynamics (cfd) and Agent-Based Simulation (abs) Coupling Assessment

Computational Fluid Dynamics (CFD) models airborne particle dispersion and ventilation effects, while Agent-Based Simulation (ABS) simulate human behaviors and interactions to study indoor direct disease transmission. Both approaches provide essential insights into probabilistic transmission assessment, each representing a distinct spread modality: airborne (small particles) and direct (droplets). A fully coupled CFD-ABS modeling framework would better address challenges such as a more realistic, high-resolution spatiotemporal models, which are critical for more accurate modeling of airborne and direct disease transmission, which in turn requires a high computational cost and timeframe desynchronization, for real-time feedback in architectural design. Our research provides a two-tiered review of the state-of-the-art at the intersection of CFD and ABS modeling frameworks, with a particular focus on implementation strategies and reported outcomes. The analysis is synthesized in a comparative table that systematically evaluates nineteen studies across a set of parameters, including the CFD-ABS integration platform, software architecture, integration schema, field of application, simulation domain scale, temporal resolution, metrics, computational requirements, and key findings. The conclusion suggests the next steps to advance this area.