Skip to main content

GTT introduces Canoga 9004 traffic sensing system

GTT - Global Traffic Technologies – is introducing its new Canoga 9004 traffic sensing solution here at Intertraffic Amsterdam. The system is able to simultaneously detect bicycles and vehicles and gives traffic engineers the data they need to make informed decisions regarding traffic flow. Engineers can design bike-friendly corridors even when dangerous, mixed-vehicle traffic exists, says GTT CEO Doug Roberts.
April 6, 2016 Read time: 2 mins
Doug Roberts of GTT

GTT - 542 Global Traffic Technologies – is introducing its new Canoga 9004 traffic sensing solution here at Intertraffic Amsterdam. The system is able to simultaneously detect bicycles and vehicles and gives traffic engineers the data they need to make informed decisions regarding traffic flow.

Engineers can design bike-friendly corridors even when dangerous, mixed-vehicle traffic exists, says GTT CEO Doug Roberts. “Cyclists sometimes jump lights and disregard traffic rules in congested city areas – mainly because they’re agile and can. At the same time, they’re extremely vulnerable in mixed vehicle traffic, especially if pulling up alongside turning heavy goods vehicles. This can unfortunately result in fatal accidents, since cyclists have little or no protection from the weight and speed of motor vehicles.”

GTT says Canoga 9004 can solve many issues related to dual occupation of the road by bicycles and vehicles because the solution can detect and classify bikes in dedicated bike lanes or roads with a mix of bicycles and other vehicle traffic. When required, a dedicated output can be configured to indicate detected bicycles, and then give them priority over other vehicles. The solution can be easily configured using GTT’s Central Management Software (CMS).

According to GTT, Canoga has long been the solution of choice for many cities because it enables traffic engineers to make informed decisions regarding traffic flow and to report traffic count to national agencies.

For more information on companies in this article

Related Content

  • Researchers devise snow ploughing algorithm
    September 16, 2014
    Canadian researchers Olivier Quirion-Blais, Martin Trépanier and André Langevin have developed an algorithm to determine the most efficient routes for snow ploughs and gritters. Snow plough routing has always been something of a ‘black art’: to direct a fleet of show plough to clear priority roads without having the same road cleared several times while others are left untreated. Increasingly, GPS is being used to track the routes the clearing vehicles have taken but until now it has not been possible to ta
  • smartmicro and Nordsys convert radar data into V2X messages
    March 20, 2018
    smartmicro and Nordsys, both located in Braunschweig, Germany, are showing a brand-new system combining traffic management radar and V2X communication.
  • Additional functionality gives loops a continued lease of life
    March 20, 2014
    Two decades after the death of the inductive loops was predicted, Matt Zinn, technical services manager at Eberle Design says the technology still offers advantages. More than 20 years ago the emergence of video detection systems led many to foretell the end of inductive loops. In the intervening years advocates of radar, infrared and wireless detection technologies have also claimed that loops were on their way out. But in fact, by all calculations, the use of loops has actually increased and although
  • Iteris highlights local solutions in San Jose
    June 13, 2016
    Iteris is here at ITS America 2016 San Jose to highlight the company’s ITS solutions in the Bay Area. Santa Clara County leads the charge by using performance measurement systems at the arterial level with real-time Bluetooth data and turning movement count data. By aggregating the count data at intersections and utilising sophisticated algorithms for analysis, Iteris’ system provides speed, flow, and occupancy data for turning movement on the main corridors. Algorithms make short-term flow predictions t