Traditional decision-making systems for air quality monitoring, which rely on sparsely deployed fixed stations, offer limited spatial resolution and lack agility to detect fast-changing, hyper-local pollution patterns. We propose an Urban Digital Twin (UDT) architecture embedded with a mobile and resilient wireless sensor network (WSN), composed of sensor-equipped public vehicles and delivery fleets. The UDT enables navigating urban environments, integrating built and natural environmental data, providing real-time, high-resolution coverage, and impact analysis. A virtual network zoning was introduced for WSN, which minimizes long-distance transmissions and improves the real-time interpolation for smooth coverage and precise impact analysis. The UDT system computes the Air Quality Index (AQI) pollutant readings, supports higher levels of frequency and fidelity analysis across dense urban environments, and maintains low computational complexity.

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