Real-Time Data-Driven Modeling of Road Traffic Pollutant Emissions and Atmospheric Concentrations at an Urban Scale
The importance of air quality cannot be underestimated as it represents a major public health issue: today, nearly 91% of the global population is exposed to air pollution levels exceeding the exposure thresholds set by the WHO. This thesis lies at the intersection of three scientific domains: numerical modeling, air quality, and deep learning.