Calibrated urban-and-port environmental digital twin

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Calibrated urban-and-port environmental digital twin: co-located real-time sensor streams (NO, NO2, SO2, CO, O3, CO2, PM1/PM2.5/PM10, ambient noise, temperature, humidity, wind, pedestrian flows) fused with traffic and camera observations, then run through a coupled model stack (SUMO traffic, WRF meteorology, CHIMERE chemistry, MUNICH street-canyon) at up to 100 m resolution. The genuinely non-obvious byproducts are: (a) model-calibration pairs — every deployment tunes WRF/CHIMERE/MUNICH output against the company's own colocated measurements, so each city yields a matched simulated-versus-observed corpus at street scale, which is the rarest training data in urban dispersion; (b) scenario/counterfactual data — the platform generates up to 10 simulated mobility-restriction scenarios per city with predicted emissions and noise impacts, i.e. labelled what-if interventions that cannot be produced from any public dataset because the interventions were never enacted; (c) post-intervention verification series showing measured before/after against modelled expectation; (d) a cross-city common model-output schema validated across six cities, an interoperability asset in itself; (e) port and freight air-quality series (Baltic Sea port of Gdansk) where shipping-attribution data is scarce; and (f) acoustic and pedestrian-flow streams riding on the same street furniture.