Develop air quality sensing platform to determine spatial and temporal characteristics of urban air quality in diverse urban topologies.
Many cities aspire to track and manage air quality in order to manage emissions through dynamic or policy-based traffic management. Understanding the spatial and temporal dynamics of air quality is critical to designing effective sensor networks and closing the loop between sensing and traffic controls and policy.
- Sensor platform
- Local cloud / edge computing
Support for UrbanCCD comes from the MacArthur Foundation, National Science Foundation, University of Chicago, Argonne National Laboratory, the City of Chicago, and industry partners.