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

  • Vitronic's complete solutions for safety, security and tolling
    February 22, 2018
    Safety, security, road user charging and how it all comes together as the backbone of a smart road network - these are the topics that German machine vision specialist Vitronic will focus on at Intertraffic Amsterdam 2018. The company will showcase how its product range can be applied to a host of applications, from speed and red light enforcement, average speed enforcement, wanted cars search and border control, to electronic toll collection (ETC). “We have completed our portfolio and will present some
  • Pioneering sensors collect weather data from moving vehicles
    January 20, 2012
    ITS International contributing editor David Crawford foresees the vehicle as 'sentinel being'
  • NPRA uses NovuMind bicycle counter for green transport policy Norway
    December 18, 2017
    Silicon Valley start-up NovuMind has provided its (AI)-powered smart bicycle counter to The Norwegian Public Roads Administration (NPRA) in a project which aims to monitor the number of bicycles on the road and assess the implementation of green transportation policy. The device will has been set up on the side of Prinsens Gate, in Trondheim. The counter uses edge computing where AI capability is built into every single device and is said to achieve an accuracy of 96.4%. Ren Wu, founder and chief
  • Milesight unveils G2 series for traffic enforcement
    February 19, 2025
    Range includes mobile and enhanced ANPR technologies