Latest
YesterdayHouston City Council Raises Sensus Water Meter Contract Ceiling To $43.5M YesterdayMadrileña Red de Gas Partner with Telefónica for Remote Metering Platform YesterdayRiba-roja del Túria Pilots Four Grades Of Reclaimed Water Under €10M CircSyst Project YesterdayGenoa Sets Smart City Strategy Linking Digital, Ecological And Social Transitions 25 OctSaanich Starts Five-Year Upgrade Of Water Meter Reading Equipment At 30,000 Properties 25 OctDubai’s Moro Hub Partners With ThingsBoard To Host Government IoT Applications On Moro Cloud 25 OctMonza Completes 12,688-Point LED Streetlight Replacement And Adds QR Fault Reporting 25 OctUSDOT Selects UCLA, University Of Michigan And Derq For $5.5M Intersection Safety Phase One 25 OctSIEL-Territoire d’Énergie Loire Reaches 25,000 Sensors On Its ROC42 LoRaWAN Network 25 OctMBTA Begins Hayden AI Bus Lane And Bus Stop Camera Enforcement On Routes SL4 And SL5
Kurrantly News · Weekly briefingThe week in smart cities and utilities, in one email
Share
Mobility and Traffic · USA

Ouster Secures $2 Million Contract to Launch Largest Lidar-Enabled Smart Traffic System in the U.S.

Kurrant News Desk · ·1 min read

Ouster Inc., a provider of  lidar sensors, has been awarded a $2 million contract to implement its BlueCity traffic management solution in Chattanooga, Tennessee. This deployment will cover over 120 intersections across the downtown area, establishing the largest lidar-powered smart traffic network in the United States.

Following a successful pilot at 12 intersections, the expansion aims to enhance roadway safety and reduce traffic congestion. The Ouster BlueCity system integrates digital lidar sensors with advanced perception software and edge AI to optimize traffic signal management. This technology enables real-time traffic flow improvements, pedestrian safety enhancements, and supports vehicle-to-everything (V2X) communications.

The BlueCity solution creates a real-time 3D digital twin of each intersection, allowing for accurate monitoring of road events involving vehicles, pedestrians, and cyclists. The system employs deep learning AI for reliable object classification and detection, addressing complex scenarios such as near-miss incidents, red light violations, and wrong-way driving.

Chattanooga is collaborating with Southern Lighting & Traffic Systems and the Center for Urban Informatics & Progress at the University of Tennessee Chattanooga Research Institute to expand its lidar-connected traffic infrastructure by the end of 2025. The initiative builds on previous successes, including a crosswalk installation that eliminated near-miss incidents on a high-risk city block.