Skip to main content

Vehicle detection with speed, class and count in a single loop

Global Traffic Technologies (GTT), have added speed, class and count to detection capabilities to their Canoga 9000 series, in a single width four-channel traffic management card. Historically, two cards were needed to obtain the same information. Canoga includes Ethernet so it can connect to GTT’s central management software (CMS), which enables traffic engineers to access key data, run customised reports, and receive maintenance alerts—all in real time, all from a remote location.
September 5, 2014 Read time: 2 mins

542 Global Traffic Technologies (GTT), have added speed, class and count to detection capabilities to their Canoga 9000 series, in a single width four-channel traffic management card. Historically, two cards were needed to obtain the same information.

 Canoga includes Ethernet so it can connect to GTT’s central management software (CMS), which enables traffic engineers to access key data, run customised reports, and receive maintenance alerts—all in real time, all from a remote location.
 
Engineers can use the device to adjust timing for signalised intersections, to record state- and federal-mandated traffic counts, or just for a more accurate count of the number of vehicles on the road.
 
The new cards are easily interchanged with sensors already installed and can also be used to capture information about vehicles in parking lots, or information about bicyclists in bike lanes.

“The Canoga 9000 Series sets a new standard for traffic sensing technology,” said Tim Hall, GTT’s Market Development director. “With our innovative, single-loop technology, traffic engineers can use a single card to obtain information that traditionally requires two sets of cards and sensors. Our new technology provides more information with less guesswork, so engineers can make more accurate decisions that improve traffic flow and enhance safety.”

Related Content

  • Machine vision - cameras for intelligent traffic management
    January 25, 2012
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case:
  • Machine vision offers new solutions to old problems
    October 28, 2014
    The transportation sector is set to benefit from a far wider range of machine vision technology. While machine vision techniques have been applied to traffic management applications for some years, in some areas there can still be a shortage of knowledge about what the technology can offer transportation professionals. The image processing and interpretation functions of machine vision enables control room staff to be immediately alerted to occurrences requiring attention which, in turn, enables each person
  • Healthy prospects for floating vehicle data systems
    February 3, 2012
    Elmar Brockfeld, Alexander Sohr and Peter Wagner from the German Aerospace Center's Institute of Transport Systems look at the prospects for floating vehicle data systems. Although Floating Vehicle Data (FVD) or probe vehicle fleets have been around for about a decade, the idea behind them is of course much older: from probe vehicles that flow with the traffic it should be possible to get a precise, fast and spatially near-complete picture of the prevailing traffic flow conditions in an area under surveilla
  • Jenoptik uses sensor fusion to avoid monitoring confusion
    January 26, 2018
    Jenoptik’s Uwe Urban looks at the advantages of ‘sensor fusion’ for the ITS sector. When considering the ideal sensing and monitoring system to enable the ITS sector to deliver improvements in mobility and road safety, for general policing security and border protection, we have to think beyond radar-base systems or laser scanners. What is needed today are solutions for detecting and tracking vehicles while recording evidence to deacide if any action is necessary. There is no sole sensor capable of