Skip to main content

New Nortech IR200 provides intelligent vehicle loop detection

Today's traffic systems thrive on data, which is why Nortech Detection is debuting its IR200 intelligent vehicle loop detector at the ITS World Congress. Designed for motorway use, the IR200 collects, stores and reports multi-lane traffic data derived from 32 loops (or 16 lanes in speed measurement mode) at vehicle speeds to 200km/h. The IR200 incorporates incident detection capability implemented at the roadside. Using the TRRL HIOCC algorithm, the equipment monitors traffic occupancy per lane on a seco
October 11, 2016 Read time: 2 mins
Today's traffic systems thrive on data, which is why Nortech Detection is debuting its IR200 intelligent vehicle loop detector at the ITS World Congress. Designed for motorway use, the IR200 collects, stores and reports multi-lane traffic data derived from 32 loops (or 16 lanes in speed measurement mode) at vehicle speeds to 200km/h.

The IR200 incorporates incident detection capability implemented at the roadside. Using the TRRL HIOCC algorithm, the equipment monitors traffic occupancy per lane on a second-by-second basis and provides traffic incident alarms calculated from configurable alarm variables downloaded from the host computer.

'Smarter' TD664 vehicle detectors incorporate AFS (automatic frequency selection) on each four channel card, evaluating multiple possible frequency shift selections and automatically selecting the best frequency setting for each loop on start-up.

The IR200 upgrades Nortech's previous system from serial communication to ethernet, offering RS232, ethernet and USB ports, and a web browser interface.

“The web browser interface enables the operator to access the system remotely from anywhere,” said Cyril Farrow, technical manager, Nortech Detection. “The operator no longer has to be on site. They can do fault diagnostics and reconfigure IR200 from the office, which is a major advance over our previous system.

“Remote access can save hours on any failure, especially intermittent failures, where the tech would otherwise have to sit for hours waiting for something to go wrong,” he said.

The IR200, based on the same technology used in 3M automatic vehicle classification (AVC) solutions, is compliant for all Australian traffic systems, and CE mark certified for European and international use.

Related Content

  • 3M invests US$1.3 million in tolling technology testing
    April 8, 2014
    3M is investing $1.3million to expand its research center to develop and test tolling and public safety products, and customers can use it too. When 3M opened its Transportation Safety Research Center (TSRC) in the 1970s it was as an extension of its research facilities. More than a showcase for innovation, the center was—and continues to be—a dynamic outdoor laboratory where new traffic materials, systems, vehicle safety and public safety products are tested in real-world conditions. Now, with 3M expanding
  • The future? It's remote, says Valerann
    January 4, 2024
    More responsive traffic management is of enormous value – and Valerann thinks its SaaS system, remotely deployed in Latin America, is able to identify incidents much more quickly, finds Andrew Stone
  • Bespoke weigh-in-motion data logger from Kistler
    September 7, 2014
    Kistler is using its booth to highlight to the American market a bespoke weigh-in-motion (WIM) data logger designed to interface with Lineas WIM sensors. The company says this combination allows users to monitor traffic in real time and gather key vehicle data including weight and imbalance, axle loads and spacing, speed and driving behaviour.
  • Proposed system to take guesswork out of choosing a freeway lane
    March 17, 2014
    A fledgling advanced lane management assist system can take the guesswork out of selecting the right lane on a congested freeway, as its inventor Robert Gordon explains. As drivers we’ve all done it and control room staff see it all the time – motorists on congested freeways switching into what they perceive is a faster lane, only to come to a halt a few moments later and watch vehicles in the other lanes continue to move past. Now, by re-analysing readily available data in an advanced lane management as