Skip to main content

Flir launches TrafiOne Smart City Sensor

Flir Systems is launching the Flir TrafiOne Smart City Sensor, an all-round detection sensor for traffic monitoring and dynamic traffic signal control. Offered in a compact and easy-to-install package, the system uses thermal imaging and Wi-Fi technology to provide traffic engineers with high-resolution data on vehicles, bicycles and pedestrians at intersections and in urban environments. The Flir TrafiOne sensor uses thermal imaging to detect the presence of pedestrians and cyclists who are approaching or
June 13, 2016 Read time: 2 mins
Farid Semmahi of Control Technologies

6778 Flir Systems is launching the Flir TrafiOne Smart City Sensor, an all-round detection sensor for traffic monitoring and dynamic traffic signal control. Offered in a compact and easy-to-install package, the system uses thermal imaging and Wi-Fi technology to provide traffic engineers with high-resolution data on vehicles, bicycles and pedestrians at intersections and in urban environments.

The Flir TrafiOne sensor uses thermal imaging to detect the presence of pedestrians and cyclists who are approaching or waiting at the curbside or who are actually walking on a street crossing. Thermal imaging sensors can see in total darkness, through shadows and sun glare, which helps provide reliable traffic detection 24/7. The TrafiOne can even be combined with rapid flashing beacons to help warn approaching drivers that a pedestrian is present in a mid-block intersection.

Optional Wi-Fi technology can be used to capture traffic flow data and by monitoring Wi-Fi Mac addresses of devices such as smartphones, TrafiOne can determine travel and route times along road segments.

Via Wi-Fi signal strength information the device can also measure queue delay times at intersections. “Flir TrafiOne will help traffic engineers to improve traffic flows in the city in unseen ways,” says Stefaan Pinck, vice-President worldwide ITS Sales at Flir. “Through data collected by the TrafiOne sensor, they will be able to adapt traffic signal schemes, reduce vehicle idling time, monitor congestion, enhance safety for vulnerable road users and measure travel and delay times for different transport modes.”

The information collected by TrafiOne can be accessed for further analysis by Flir’s cloudbased analysis platform. Smart analytics transform the data into useful traffic insights, which are critical to understanding road network performance and to taking extra measures where and when they are needed.

For more information on companies in this article

Related Content

  • Umovity presents cutting-edge mobility technology at Intertraffic
    April 17, 2024
    It's been a year since PTV Group and Econolite joined forces to create Umovity, and they're celebrating by bringing their most innovative transportation technology to Intertraffic.
  • Smart Cities: a journey, not a destination
    June 30, 2021
    As technologies evolve, cities of the future should prepare for expansion by establishing scal­able systems, suggest Benjamin Ho and James Birdsall of Parsons
  • Wi-Fi win-win for mass transit
    October 31, 2014
    David Crawford explores passenger and operator benefits of on-board Wi-Fi Urban commuters’ growing demand for continuous – and reliable - internet connectivity is spurring network operators into the rapid installation of high-grade Wi-Fi access on their surface and underground networks, as well as in their stations. Such moves are often a key part of strategies to maintain and increase ridership levels.
  • TTI launches Smart Intersection initiative
    June 8, 2016
    The Texas A&M Transportation Institute (TTI), Texas A&M University and the City of College Station are joining forces with seven key private sector companies to help design, develop and test safer, smarter intersections, where vehicles alert drivers to stalled traffic miles before the queues begin – and suggest alternate routes. They say the ability to detect traffic flow and volume, analyse complex traffic data in real time, calculate multiple route alternatives and send the resulting recommendations to