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.

Related Content

  • May 31, 2013
    Data goldmines offer rich pickings
    Astronomical is not too grand a term to describe the current rate of growth in transportation-related data. Massive amounts of traffic related information, such as speed, volume, incidents and weather are being generated every second by road operators and users alike. Big data’ derives its name from the sheer amount and complexity of available raw data. Its potential value is starting to emerge among the intelligent transportation systems community. A gold rush is taking place to capture this value, with da
  • May 5, 2020
    WiM avoids bumps in the road
    Road surfaces are deteriorating as years of budget squeezes bite among local authorities. Adam Hill asks leading Weigh in Motion players what effect this might be having on the accuracy of their technology – and how authorities can be made to see that WiM is a helpful tool
  • October 1, 2021
    Video as a Sensor tech drives safer roadways
    Bosch products integrate with partner offerings to provide end-to-end ITS safety solutions
  • April 14, 2022
    Weighing up the future with AI
    There is broad agreement that artificial intelligence will be an important part of Weigh in Motion as we go forward – but Adam Hill finds that not everyone agrees quite how close we are to that point