To understand where smart city projects are going, one must understand where they’ve been. Atlanta CIO Samir Saini does this by dividing these projects into three phases: Smart Cities 1.0, Smart Cities 2.0 and Smart Cities 3.0.
Smart Cities 1.0 is tech that predates the phrase “smart city,” going back about a decade to utility and energy companies that first used industrial control systems made of basic sensors to collect data for analytics work. Smart Cities 2.0 is where most cities are now, starting to use limited Internet of Things (IoT) tech to sense what’s happening at surface levels and to control systems. Smart Cities 3.0, which is where most CIOs want to be, will transform municipalities into unified data platforms that give government prescriptive and predictive analytics capable of improving quality of life.
Atlanta is collaborating with academia, specifically with the Georgia Institute of Technology (Georgia Tech), on predictive analytics in transportation, starting to use advanced sensors to predict potholes and identify intersections with frequent near-crashes. With this data, the city can direct resources to fix potholes before they happen and make changes to dangerous roads, thereby improving efficiency and reducing costs.
Atlanta is also working with Georgia Tech on public safety through a machine learning algorithm that uses natural language processing to draw connections between thousands of case reports generated by police. This project seeks to identify similarities in cases in real time, a vast improvement over manual review.
Chicago has also established itself as a groundbreaking smart city with its Array of Things project, which Chicago CIO Danielle DuMerer said has drawn interest from 90 other jurisdictions, including Denver, Seattle and Boston. Chicago has proven a productive testing ground for this project, which is made up of hundreds of outdoor nodes, because the hardware must stand up to the Windy City’s weather. Since the project launched more than a year ago, developers have improved the nodes to reduce issues such as interior condensation.
A collaborative commitment to smart cities has also taken root in Chicago. On the data side, the city is working with the University of Chicago to break down silos and funnel smart cities data into a platform called Plenario, which funnels info back through an API and makes it available around locations. To create hardware that can be seamlessly placed throughout the city, Chicago is also collaborating with the School of the Art Institute of Chicago on stylish hardware boxes. Other efforts are underway at Northwestern University, which, like Georgia Tech, is studying applications in transportation.
It’s all in service of broader goals: creating data about what’s happening through the city and making that data available to public agencies, community groups, researchers and residents. Chicago has kept this at the forefront as it expands its Array of Things projects and advances toward Smart Cities 3.0 status.
“One of our goals is really to find locations where we’ve got the city, universities and communities that are interested in a platform and leveraging it collectively to solve challenges,” DuMerer said. “Those are the locations that will move forward most quickly.”
Kansas City, Mo., was at the forefront of smart city tech in 2015, embracing expanded broadband access, smart streetcars with video sensors capable of finding badly parked cars, traffic lights to keep streets moving, and digital kiosks serving as city guides.
Kansas City Chief Innovation Officer Bob Bennett said recent progress has involved expanding existing initiatives, as well as improving data analytics platforms. Potential uses of analytics are wide-spanning and nuanced, with examples including the parks department putting pools in overheated neighborhoods to reduce crime, or economic development tools identifying areas in need of resources.
By: Zack Quaintance, staff writer for Government Technology