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. This is attempted through the use of the Array of Things (AoT). Array of Things is a cyberinfrastructure instrument supporting three general types of research into smart and connected communities: (a) high spatial-temporal resolution measurements of the urban environment (air quality, noise, etc.), (b) rapid deployment and test of new edge technologies (measurement, communication, computation) at urban scale, and (c) research and development enabled by edge programmable devices embedded throughout a city and integrated with high-performance cloud services.
Acknowledgments: Support for UrbanCCD comes from the MacArthur Foundation, National Science Foundation, University of Chicago, Argonne National Laboratory, the City of Chicago, and industry partners.
Team Information: Urban Center for Computation and Data (UrbanCCD), Kate Kusiak Galvin, [email protected]
Rajesh Sankaran, [email protected]
Charles Catlett, [email protected]
