"Synthetic Executable Companion for Urban Intersection Image Analysis: The Davis Square Navigation Sign"

"This dataset presents a synthetic executable companion generated from an image of an urban intersection navigation sign at Davis Square in Somerville, Massachusetts. Starting from the source image, the companion produces a runnable simulation framework for a five-arm intersection with directional constraints, including one-way restrictions on Day Street and Highland Avenue. The bundle includes simulator code, structured specifications, synthetic CSV outputs, scenario summaries, and figures covering queue dynamics, throughput, delay, conflict events, and origin-destination flows. The generated scenarios support exploratory analysis of off-peak conditions, morning peak demand, removal of one-way restrictions, elevated pedestrian pressure, and reduced-conflict signage. This resource is intended for research, teaching, and prototyping in transportation modeling, urban systems, navigation, and AI-based image-to-simulation workflows. All outputs are synthetic and supplementary to the source image rather than validated field measurements."