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

  • Combining Bluetooth and wi-fi to optimise traffic signals
    May 8, 2013
    Optimisation of traffic signals is often seen as a challenging and expensive task, requiring inductive loops, cameras or manual counting for traffic monitoring. However, a new development from Danish wireless technology company Blip Systems aims to change that. BlipTrack uses a combination of Bluetooth and wi-fi to constantly monitor and map traffic flow. The system detects all vehicles containing Bluetooth or wi-fi enabled devices to provide accurate traffic data, enabling real-time traffic monitoring a
  • Social media mooted for traffic management
    November 13, 2012
    SQLstream’s Ronnie Beggs discusses with Jason Barnes the potential and pitfalls of using social media for traffic monitoring and management. cataclysmic events such as hurricanes and tsunami have challenged perceptions of what constitutes robust traffic management infrastructure in recent times. Presumptions that only fixed systems could offer high levels of unbroken service, accuracy and communication bandwidth, have been taught some hard lessons by nature. In many respects wireless systems now represent t
  • Yunex Traffic to exhibit the key to the future of Intelligent Transportation
    March 21, 2024
    The promise of a brighter and more efficient future will see delegates drawn to ITS America 2024 in the Phoenix Convention Center and to Yunex Traffic’s booth. There the company will unveil its latest innovations which promise to unlock the future of traffic management: Yutraffic Studio, Blade and Fusion, plus new V2X technology.
  • LeddarTech increases d-tec sensor range
    January 31, 2013
    LeddarTech, Canadian supplier of advanced 3D detection and tracking systems based on patented Leddar (Light Emitting Diode Detection and Ranging) technology, has launched the second generation of its d-tec 3D traffic sensor. Leddar d-tec emits non-visible light into the area of interest and measures the time taken for the light to reflect off of objects and return to the sensor. The second generation provides a range increase of 25 per cent for all d-tec products without comprising the accuracy and performa