Company or Institution
UNIMORE – University of Modena and Reggio Emilia
Sustainable Development Goals (SDGs)
SDG 3: Good Health and Well-being
SDG 7: Affordable and Clean Energy
SDG 11: Sustainable Cities and Communities
SDG 13: Climate Action
General description of the AI solution
This project aims to develop a framework and a model to help decision-makers rapidly evaluate proposed strategies to reduce air pollution by unrevealing the correlation between emission sources and observed urban air quality. The study must be conducted on environmental data that provide a fine-grained picture of urban air quality. Several environmental datasets will be used. Wiseair's widespread low-cost sensor network (https://www.wiseair.vision/) will be exploited.
Artificial intelligence and digital twin will be the enabling technologies to make sense of the complex problem of urban air quality and emission reduction strategies. Deep learning and machine learning techniques will be used to perform the analysis between emissions and AQ levels over space and time.
HPC resources and/or Cloud Computing Services