IRD wins $13.8m NY data deal

Traffic data collection is key to New York State DoT understanding transport needs
By Adam Hill July 26, 2022 Read time: 2 mins
Data will be used to inform safety initiatives, infrastructure issues and evacuation routes - and to develop highway planning (© Sealm1 | Dreamstime.com)

New York State Department of Transportation (NYSDoT) has awarded International Road Dynamics (IRD) a two-year, CAN$13.8 million contract for installation and maintenance of permanent traffic data collection systems.

IRD will be responsible for ensuring optimal system performance at 68 traffic monitoring sites in the western part of New York state, with a number of those sites using the company's iTHEIA data collection solution.

The information will be used to assess transportation needs - such as safety initiatives, infrastructure issues and evacuation routes - and to develop highway planning.

“This contract combines traffic data collection, construction services, and advanced traffic data analytics reporting to meet the unique needs of NYSDoT," says Rish Malhotra, IRD’s president and CEO.

"We are also pleased to see the broader adoption of iTHEIA, which has received growing interest since its launch two and a half years ago. As states become more aware of the benefits of high-quality, continuously collected traffic information, we expect that the demand for this innovative solution will continue to grow.”

IRD will be responsible for all parts, equipment, materials, labour and technical expertise to successfully repair, upgrade, install, and maintain traffic data collection sites across the state. 
 
It will also carry out repair and maintenance services for the state’s existing count, classification, and Weigh in Motion sites, ensuring uptime of 95% or better.

IRD says there is no need for road closures during installation and service and insists that iTHEIA provides superior longevity compared with in-road sensor-based systems.

Detection, Monitoring & Machine Vision Classification & Data Collection

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