Skip to main content

VI²M is the right formula for IRD

IRD is at ITS America 2016 San Jose to showcase the VectorSense tyre sensor suite for traffic and pavement design applications in conjunction with the VI²M data collection and presentation software suite. The VectorSense tyre sensor suite is a new in-road sensor technology that provides vehicle position and individual tyre footprint information for use in traffic data collection programs, commercial vehicle operations and toll road operations. This additional and advanced vehicle data provides for differ
June 13, 2016 Read time: 2 mins
Rish Malhotra of IRD
857 IRD is at ITS America 2016 San Jose to showcase the VectorSense tyre sensor suite for traffic and pavement design applications in conjunction with the VI2M data collection and presentation software suite.

The VectorSense tyre sensor suite is a new in-road sensor technology that provides vehicle position and individual tyre footprint information for use in traffic data collection programs, commercial vehicle operations and toll road operations. This additional and advanced vehicle data provides for differentiation between single standard, ‘super single’, and dual tyre width configurations – vital information for predicting pavement damage.

VectorSense sensors provide data on all types of vehicles, enabling engineers and planners to collect and analyse traffic data to optimise infrastructure investments such as bike lanes, bike paths and bike share locations. With input from VectorSense sensors, IRD says the VI2M data collection system can provide web-based reports on different tyre configurations and vehicle types. VI2M can detect all types of vehicle configurations, including bicycles, motorcycles, three-wheeled vehicles and oversized vehicles with non-standard axle arrangements.

VI2M provides an easy-to-use web-based system of dashboards that graphically represents data stored in a central repository. In addition to tabular reports on vehicle classes and axle counts, the system can generate plotted graphs for lane position, wheel measurements, and wheel type at multiple sites.

The software suite allows users to combine data from multiple sensor types and multiple locations to create a complete picture of activity across their jurisdiction.

For more information on companies in this article

Related Content

  • GridMatrix maximises power of existing infrastructure
    August 5, 2023

    GridMatrix’s breakthrough software platform for multimodal data collection and analytics is revolutionising transportation planning and decision making across the US. 

    Powered by artificial intelligence and combining the latest advances in cloud computing, machine learning and advanced sensing, GridMatrix’s platform is deployed in New York City on the world’s busiest bridges and tunnels, trusted by multiple state departments of transportation, and in a fast-growing number of American towns and cities. 

  • Watch your step: the sidewalk robots are here
    March 14, 2023
    The way we order and pay for goods has changed radically – but what about how those goods are delivered? Gordon Feller looks at how sidewalk robots might reshape the urban landscape
  • MetroCount measures bicycle metrics and senses axles
    April 5, 2016
    Rather fittingly, MetroCount has arrived in Amsterdam with a new portable bicycle counter (the MC5620) as well as the MC5606 remote traffic classifier – both of which operate using thin walled pneumatic tubes.
  • Cellint counts on real-time cellular data
    June 24, 2020
    Tests comparing virtual counting - using cellular data - with physical sensors showed less than 6% difference