Deep learning based multimodal urban air quality prediction and traffic analytics

An overview of the proposed methodology is provided by Fig.  3, which can be roughly divided into six phases comprising Data Collection (Phase 1); Data Pre-Processing (Phase 2); Sensor Fusion (Phase 3); training the Deep Learning Model (Phase 4); Prediction (Phase 5); and AQI calculation (Phase 6).

• In the first phase, multi-modal real-time data (including CCTV camera imagery and air pollution data) from the different regions of Dalat City, Vietnam is collected. The data sources include 10 sensors for air/atmospheric pollutants (PM1.0, PM2.5, PM10,