Chattanooga City

The city of Chattanooga, Tennessee, is expanding Ouster’s BlueCity ITS solution to over 120 intersections, making this the largest deployment of lidar detection technology for traffic and pedestrian safety in the United States.

Chattanooga is leading the country in adopting smart city technology to improve our roadways, and with it, the safety and quality of life of our citizens. Using American lidar and advanced perception software from Ouster, we are building the largest lidar-powered smart traffic network in the United States. This technology will enable optimized traffic signal management on roads and intersections to improve traffic flow and provide data we can use to improve pedestrian safety.

Chattanooga Mayor Tim Kelly

Following a successful pilot at 12 intersections, the University of Tennessee at Chattanooga (UTC) Center for Urban Informatics and Progress (CUIP) has partnered with the city of Chattanooga and Ouster to implement a smart corridor aimed at deploying solutions for traffic management and road safety. This project will integrate Ouster digital lidar sensors and edge AI at each intersection to manage traffic flow, detect and analyze safety incidents, and enable vehicle-to-everything (V2X) communications. Chattanooga is expanding Ouster’s BlueCity solution to over 120 intersections, covering the downtown area. With this expansion, Ouster BlueCity will become the largest deployment of lidar detection technology for traffic and pedestrian safety in the United States.

Read the ITS International case study to discover how this project makes Chattanooga's roads safer for everyone.

About Ouster BlueCity
Ouster BlueCity is a turnkey solution that provides smarter signal actuation at intersections while generating an analytics data stream. This stream offers traffic operators and city planners high-quality insights into their public corridors. Ouster BlueCity integrates digital lidar with perception software and data analytics, creating a real-time 3D digital traffic twin of an intersection or roadway. The solution automates cloud-based data collection to monitor road events more accurately for vehicles, pedestrians, and cyclists, facilitating quick safety interventions and long-term planning optimizations. Utilizing deep learning AI perception, Ouster BlueCity ensures reliability and advanced object classification and detection for various complex use cases, including traffic actuation, near-miss detection, events outside of crosswalks, red light running, and wrong-way driving.