Urban Air Quality Monitoring with Sensor Networks

This lecture covers the OpenSense project, focusing on urban air quality monitoring using sensor networks deployed on public transportation. It explains the deployment of air quality sensors, sensor calibration techniques, leveraging sensor cross-sensitivities, and the use of crowdsensing for data collection. The lecture also discusses the Graz Lagrangian model for NO2 concentration, simulations with physical models, and the hRouting app for computing healthy routes in Zürich.