Skip to main content

Utah intersection Lidar traffic management from Seoul Robotics

Firm says signals at Salt Lake City installation are first to be Lidar-controlled in US
By Adam Hill July 8, 2024 Read time: 2 mins
Lidar sensors are at each corner of the intersection, and create a digital twin (image: Seoul Robotics)

Seoul Robotics has deployed its Lidar-powered traffic signal system in Utah, US.

Installed at the junction of State Street and 5900 South in Murray, Salt Lake City, this is the first intersection in the US where traffic signals are controlled directly by Lidar technology, Seoul Robotics says.

The Utah Department of Transportation (UDoT) wanted advanced sensor technology that can detect, count and track vehicles and other road users under any weather conditions. 

The installation is powered by Seoul Robotics' 3D Perception engine, housed in a compact edge device, with Lidar sensors at each corner of the intersection, which create a digital twin which feeds data to optimise traffic flow and reduces congestion.

Local distributor Gades Sales Company has ensured the system is integrated into local infrastructure, while Blue Band's software translates the data from the 3D Perception Engine into signal commands compatible with existing traffic controllers. 

Seoul Robotics says the solution "mounts directly onto existing infrastructure without significant road work and infrastructure changes". 

Traffic management features include precise stop-bar detection, advanced vehicle detection up to 300 feet from the stop bar, and red-light running. The system has a vehicle counting accuracy of 99.8% at the stop bar, the firm says.

 "Since its installation, our Lidar-based traffic management system has consistently demonstrated excellent detection and tracking of objects, ensuring reliable performance across all weather conditions," says Lee Han-bin, CEO of Seoul Robotics.

"This technology not only meets but exceeds the demands of modern traffic systems."

As well as vehicle flow, the system is designed to accurately count and monitor vulnerable road users, such as pedestrians and cyclists at crosswalks and kerbsides.

Seoul Robotics says deep learning and 3D computer vision ensure that all perceived objects are accurately tracked and classified in real time, enhancing safety and traffic flow across multiple road user types.

For more information on companies in this article

Related Content

  • Lynred & Umicore see better in the dark
    September 16, 2022
    Thermal sensing technology will protect VRUs in poor visibility - including sun glare
  • Intersection performance and safety analytics from Sensys
    June 2, 2015
    Sensys Networks is unveiling SensMetrics, a 24x7 intersection performance and safety analytics system that enables local traffic agencies to optimise performance and safety of intersections and arterial corridors on an ongoing basis. SensMetrics helps agencies reduce congestion, to greenhouse gas emissions and to improve safety. SensMetrics is a game-changer. It fuses vehicle detection data with traffic signal phase data to generate a rich suite of intersection performance and safety metrics: automatic t
  • Avoiding the call of the wild
    June 29, 2018
    Hitting an animal on a rural road can be fatal for all parties involved – but detecting and avoiding them requires clever technology. Andrew Williams carefully scans the horizon for details. Wildlife-vehicle collisions are an ever-present threat in rural areas around the world, and there is certainly nothing funny about suddenly finding an angry moose in your headlights on a sharp bend. A variety of detection and avoidance systems are currently in use or under development to help prevent your vehicle being
  • Maryland deployment for Vitronic Lidar
    September 2, 2022
    Conduent contract will see 90 Poliscan FM1 speed monitoring systems installed this month