GIO.G: A Generator for Indoor-Outdoor Graphs to Simulate and Analyze Urban Environments

Pedestrian-focused modeling of urban enviromnents is difficult due to a lack of publicly available realistic datasets, and the time and labor-intensive manual processes required to make one, creating barriers to effective evaluation and analysis. In this paper, we introduce GIO.G, a Generator for Indoor-Outdoor Graphs, designed to address these challenges and enhance pedestrian-focused simulation in urban environments. GIO.G offers configurable parameters such as building characteristics, urban density, and foot traffic congestion levels, enabling users to explore a wide range of scenarios with precision and scalability. Through a series of scenarios, we highlight GIO.G's unique features and showcase GIO.G's versatility and effectiveness in generating realistic Indoor-Outdoor Graphs.