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

  • WiM avoids bumps in the road
    May 5, 2020
    Road surfaces are deteriorating as years of budget squeezes bite among local authorities. Adam Hill asks leading Weigh in Motion players what effect this might be having on the accuracy of their technology – and how authorities can be made to see that WiM is a helpful tool
  • Wavetronix radar-based traffic sensor cuts costs
    May 30, 2013
    While initial cost of radar based detection may be higher than that traditional loops, lower maintenance costs more than balance the books. Following successful field tests, the US city of Greenville, North Carolina, has recently agreed a new policy of phasing in Wavetronix traffic sensor technology’s radar-based SmartSensor Matrix system across its signalised traffic intersections. City traffic engineer Rik DiCesare expects the incremental implementation to deliver benefits to both the city’s taxpayers an
  • Clear signs on inspection from EU Road Federation
    December 27, 2024
    Free checklist will help ensure ADAS systems work safely, ERF says
  • Aptiv: we need overhaul of AV nervous system
    August 20, 2019
    Autonomous vehicles are changing a lot of things: Aptiv’s Christian Schäfer suggests that we need to look again at traditional approaches to vehicle architecture to find viable options for the future