The New Data-Centric Approach to Improving Urban Air Quality
Today, continued advances in low-cost sensors and the Internet of Things have enabled the next-generation of air quality monitoring that can provide decision makers and communities with accurate, high resolution data at costs orders of magnitude lower than traditional monitoring stations. Cloud-based platforms and machine learning can ensure these low-cost solutions are increasingly accurate and remain calibrated. Further, these new solutions are often designed for minimal maintenance to ensure they remain feasible for city budgets (or other operators) over the long term.