Skip to main content

Kistler installs 'world's largest digital WiM site' in smallest US state

Forty Lineas digital quartz sensors cover 10 lanes on bridge in Rhode Island
By Adam Hill September 5, 2024 Read time: 2 mins
Kistler team installs sensors flush with the road surface on Washington Bridge in Providence (image: Kistler Group)

Kistler is to install what it says is the largest digital Weigh In Motion (WiM) site in the world, with 40 Lineas digital quartz sensors covering 10 traffic lanes.

The company is carrying out the work for Rhode Island Department of Transportation (RIDoT) to protect the structural health of Washington Bridge in the city of Providence. Rhode Island is the smallest state by area in the US.

Currently, the north span of the Washington Bridge is being removed and a new span is planned. To keep traffic moving during the north span restoration project, two traffic lanes were added to the south span. 

Kistler says the load rating on the south span is adequate, but installing its structural health monitoring (SHM) solution means RIDoT will be able to evaluate in real time whether the additional traffic load is having an adverse impact.

“Bridges talk to us,” observes JT Kirkpatrick, Kistler head of sales, traffic solutions. 

“We have the ability to hear and interpret every sound, even nearly inaudible sounds, emitted from a bridge that signal structural distress. This will enable us to work with RIDoT to proactively monitor the bridge’s structural health in real-time so they can take action to preserve this vital structure.”

WiM sensors are placed just under the surface of the bridge’s roadway, and the system also includes charge amplifiers to condition electrical signals from the sensors, data loggers to process data in real time and LPR cameras to identify trucks by their class size and monitor for overweight wheel, axle and gross vehicle weight (GVW) loads.

The sensor-based SHM solution will enable RIDoT to perform predictive analyses and more timely preventative maintenance, Kistler insists.

Measuring equipment — accelerometers, strain gauges, temperature sensors, inclinometers and a meteorology station — will measure, collect and interpret bridge health data.

Related Content

  • October 7, 2015
    Kistler WIM innovation wins accreditation
    A major weigh-in-motion (WIM) innovation being featured here at the ITS World Congress by Kistler has already won accreditation from the International Organisation of Metrology (OIML). To address the ever increasing problem of road surface damage caused by heavy transport, WIM systems employing Kistler quartz sensors have been delivering valuable traffic data for many years. There is also a long tradition in using WIM for preselection of overloaded vehicles.
  • December 21, 2020
    IRD polishes WiM’s green credentials
    A project in Canada is proving that Weigh in Motion can have a positive environmental impact, by helping to reduce emissions. Adam Hill looks at International Road Dynamics’ numbers
  • February 21, 2018
    WIM system certification is a complex business
    There are interesting moves afoot to create Germany’s first Weigh-In-Motion enforcement site in Hamburg – but Florian Weiss of Traffic Data Systems warns that WIM certification is a complex business. In the past, Weigh-In-Motion (WIM) was mainly used for statistical (WIM-S) and pre-selection (WIM-P) applications. These abbreviations - as well as WIM-E (enforcement) and WIM-T (tolling) - were created by Traffic Data Systems during Intertraffic 2006 in Amsterdam. This was also the year when we started the
  • July 31, 2015
    Innovative WIM from Kistler
    Kistler will be at the ITS World Congress with a major weigh-in-motion (WIM) innovation that has already won accreditation from the International Organisation of Metrology (OIML). As the company points out, to address the ever increasing problem of pavement damage caused by heavy transport, WIM systems employing Kistler quartz sensors have been delivering valuable traffic data for many years. There is also a long tradition in using WIM for preselection of overloaded vehicles.