Sick unveils Free Flow Profiler for scanning vehicles

Sick has launched a vehicle measurement system which it says enables accurate 3D profiling of vehicles across multiple lanes in free-flow traffic. The Free Flow Profiler is an all-weather system suitable for vehicle tolling and classification uses, especially in operations such as optimal weight loading of ferries or trains and for verifying vehicle dimensions to maximise revenue recovery, the company adds. During multi-lane, free road movement, Sick’s 2D Lidar sensors scan traffic and measure vehicle l
May 20, 2019 Read time: 2 mins

536 Sick has launched a vehicle measurement system which it says enables accurate 3D profiling of vehicles across multiple lanes in free-flow traffic.

The Free Flow Profiler is an all-weather system suitable for vehicle tolling and classification uses, especially in operations such as optimal weight loading of ferries or trains and for verifying vehicle dimensions to maximise revenue recovery, the company adds.

During multi-lane, free road movement, Sick’s 2D Lidar sensors scan traffic and measure vehicle length, width and height. The system can be enlarged to include multiple lanes or adapted with varying sensor layouts to obtain the required information for monitoring purposes.

According to Sick, the system has a range up to 40m and can profile all vehicle types from heavy road transport to passenger cars, towed vehicles and motorbikes.

Vehicle measurements are processed in the Sick Traffic Controller to produce a 3D model of each vehicle. The system captures vehicle dimensions, vehicle type, driving direction and lane assignment. Options to integrate vehicle classification, axle counting or detection of overheated vehicle parts can be added to meet specific local operator conditions and requirements.

Neil Sandhu, Sick’s UK product manager for imaging, measurement, ranging, says the solution is versatile “whenever accurate 3D vehicle profile is an advantage”.

“For example, warnings of over-height or over-sized vehicles approaching bridges or tunnels, or loading ferries so that the distribution of vehicles and weights is optimised,” he continues. “Up to 30 different automated vehicle classifications enable precise charging of toll fees.”

The system is expected to profile vehicle speeds up to 120km/hr and can be installed in new facilities, retrofitted and re-located. It can also be integrated with other traffic management monitoring systems such as optical character recognition, CCTV and security.

Urban Traffic Control

For more information on companies in this article

Related Content

  • Smart technology keeps infrastructure operating safely
    August 30, 2013
    US Departments of Transportation (DOTs) are using smart technology to warn civil engineers when something is wrong with the infrastructure, says the American Association of State Highway and Transportation Association (AASHTO). Sensors installed on bridges, in roadways, and on maintenance vehicles are communicating real-time performance and weather data, allowing engineers to solve problems before they occur. "Most people look at a road or a bridge and never realise the technology that today's modern tra
    Read More
  • Intercomp launches LS-WiM system for fleet operators
    April 17, 2019
    Intercomp has launched a low-speed Weigh in Motion (LS-WiM) system which it says allows fleet managers to collect the weight of vehicles without hampering traffic flow. The system is suitable for high-volume entry and exit gates and, unlike full-length truck scales, does not require incoming and outgoing traffic to stop every time a vehicle needs to be weighed, the company adds. According to Intercomp, the system’s small footprint allows it to be installed at most facilities at approximately half
    Read More
  • Tattile signs Smart European deals
    May 26, 2022
    Smart 2HD cameras used for e-vignette scheme in Slovenia and vehicle classification in Spain
    Read More
  • Kapsch TrafficCom: 'The city is not made for cars'
    October 22, 2018
    Traffic can be a really big challenge. When you’re stuck, you’re stuck. Everything comes to a standstill. But Alexander Lewald describes how existing infrastructures can be used more efficiently and how demand can be managed. A few figures to start with: in Los Angeles, the average driver spends 102 hours a year in traffic – that’s more than four days. This figure is 91 hours in Moscow and New York, 74 in London, 69 in Paris, 51 hours in Munich and still 40 hours in Vienna. Traffic is what causes
    Read More

Highlighted Content