Atlanta’s Smart Corridor uses smart cameras to move traffic.
Citilog video detection solutions at the core of Atlanta’s mobility.
On September 14, 2017 the City of Atlanta, Georgia launched the 2.3 mile North Avenue Smart Corridor – a $3 million project leveraging multiple “smart” technologies in order to transform traffic operations on this important mid-city corridor that carries nearly 29,000 vehicles a day. North Avenue was chosen for the Smart Corridor Project because of its relevance as a major east-west artery in the City of Atlanta serving prominent institutions (Georgia Institute of Technology, The Coca-Cola Company and Georgia Department of Transportation, among others).
The corridor includes numerous routes, key bicycle routes, as well as 18 signalized intersections between Northside Drive and Freedom Parkway. One goal of the overall project is to better understand and optimize the traffic on the Smart Corridor. Ultimately, the direct impact of the project is going to be on quality of life: reducing emissions and pollution in the city.
In 2015, the City of Atlanta had installed a number of video surveillance cameras to monitor parts of the current Smart Corridor site. The city was able to use those cameras as traffic sensors: provide traffic statistics and provide traffic data to operate and optimize intersections in real time. In April 2017, the City of Atlanta selected 360ns, a Georgia company with strong experience in providing intelligent transportation and mobility solutions.
360ns selected Citilog’s SmartTraffic-td image processing application to provide real time traffic data and statistics. The application was installed directly on the 84 existing AXIS M1125 Network Cameras to communicate with the existing traffic controllers as well as the new traffic management system, SURTRAC, deployed within the scope of the Smart Corridor Project.
Citilog’s SmartTraffic-td application computes real-time traffic data onboard Axis cameras installed at 26 intersections along the Smart Corridor. The traffic data (vehicle counts, speed, occupancy) is sent to and hosted in Citilog’s CTCloud, a special cloud platform. It enables the users to host, visualize as well as share data easily within the city organization.
The data processed by the SmartTraffic-td application is also shared with SURTRAC, an adaptive traffic signal control technology developed at the Robotics Institute at Carnegie Mellon University that optimizes the performance of traffic signals. SURTRAC uses volumes, vehicle types, speed, and queues provided by the application.
Last but not least, the SmartTraffic-td application provides vehicle presence information to the traffic controller, by means of a communication interface board. Using this interface, the application is able to connect to any traffic controller on the market without the need of altering or reprogramming the controller.
By allowing the use of existing and already deployed Axis cameras to implement traffic data collection, the project truly embodies the Smart City spirit that is working across silos and mutualizing resources within the city for the greater good.
By enabling real-time adjustments to traffic light timing, the combination of Axis cameras, Citilog’s SmartTraffic-td application, SURTRAC and traffic controllers improves travel times and reduces waiting time at intersections.
The CTCloud platform is used in real-time for traffic operations but it also allows users to keep several months of data, enabling offline analysis and study. The cloud platform is also used to monitor the functionality of the system.
Having the intelligence inside the cameras is a great help for the project implementation as there was very little room available in existing traffic controller cabinets for additional equipment.
One of the advantages of the SmartTraffic application is its flexibility that allowed accommodating all different needs and scenarios that evolved with the project; particularly interfacing with 3 different platforms at the same time.
One of the advantages of the SmartTraffic application is its flexibility that allowed accommodating all different needs and scenarios that evolved with the project; particularly interfacing with 3 different platforms at the same time. By allowing the use of existing and already deployed Axis cameras to implement traffic data collection, the project truly embodies the Smart City spirit that is working across silos and mutualizing resources within the city for the greater good.
At the 2018 ACEC Georgia Engineering Excellence Awards, the North Avenue Smart Corridor project was awarded the Engineering Excellence Awards as well as the people’s choice Award in the “Building/Technology Systems” category.