Abstract: Rural regions need planning tools that account for sparse data, limited infrastructure, and disruption-prone networks. This project advances TACTR by developing a planning-scale Rural Digital Twin for Rockingham County, NC—a living, updated virtual replica that integrates static and real-time data to support scenario-based “what-if” analysis. Priority applications include mobility disruptions (crashes, closures, work zones), aging-infrastructure stress testing (heavy-truck and weather loads), and natural-disaster readiness and response (flooding/hurricanes) to improve reliability, safety, and investment prioritization. A prototype links SUMO with a Python/TraCI controller that generates time-varying demand via arrival-rate, triggers and clears traffic incidents using video-analytics hooks, and models driver rerouting to quantify queues, delay, and recovery. Together, the Digital Twin architecture and simulation workflows provide decision support for rural planners and RPOs to evaluate strategies (e.g., rerouting policies, ramp metering, variable message signs) and identify data and partnership needs for scalable deployment.