Skip to main content

USDOT releases Iteris-led Architecture Reference for Cooperative and Intelligent Transportation

The US Department of Transportation’s (USDOT) Intelligent Transportation Systems (ITS) Joint Program Office has released the Iteris-led updated version of the ITS National Reference Architecture that fully incorporates the connected vehicle capabilities from the Connected Vehicle Reference Implementation Architecture (CVRIA) into the Architecture Reference for Cooperative and Intelligent Transportation (ARC-IT).
July 14, 2017 Read time: 2 mins

The 324 US Department of Transportation’s (USDOT) Intelligent Transportation Systems (ITS) Joint Program Office has released the 73 Iteris-led updated version of the ITS National Reference Architecture that fully incorporates the connected vehicle capabilities from the Connected Vehicle Reference Implementation Architecture (CVRIA) into the Architecture Reference for Cooperative and Intelligent Transportation (ARC-IT). Both architectures have been completely replaced by ARC-IT, which will provide a unifying framework that covers ITS comprehensively, including Connected Vehicle and traditional infrastructure ITS capabilities.

Iteris has led the development and evolution of National ITS Architecture for over 20 years, and initiated the CVRIA in 2012. Combining the two architectures into ARC-IT will streamline the vehicle to infrastructure communications guidelines as transportation use changes become more prevalent. Having a reliable framework can also streamline funding, leading to repeatable deployments.

The CVRIA website will remain online through the life of the USDOT’s Connected Vehicle pilots, to serve as a reference for those projects. The architecture team next will be offering a pair of public workshops, where users can explore ARC-IT and its updated software tools (RAD-IT, SET-IT) in detail.

Related Content

  • July 22, 2015
    Iteris showcases transportation solutions at opening of Mcity
    Iteris participated in the grand opening of Mcity, the University of Michigan’s (U-M) 32 acre testing facility for connected and driverless vehicle technologies. Iteris has been a key part of many initiatives intended to advance connected vehicle technologies including developing the US Department of Transportation’s Connected Vehicle Reference Implementation Architecture. At the grand opening, Iteris featured several currently deployed technologies including multi-sensor detection systems, travel time
  • February 1, 2012
    Next Generation 911, updating the US 911 emergency system
    Continuing developments in telecommunications and public expectation have left the US's legacy, analogue 911 emergency call system trailing. Linda D. Dodge, Public Safety Program Manager for the ITS programme in USDOT's Research and Innovative Technology Administration, the sponsor of the Next Generation 911 initiative, writes about efforts towards updating
  • February 25, 2013
    Intelligence transport systems potential?
    The world of intelligent transport systems can, it would seem, be just as beset by muddled thinking as any other sector. How else to interpret the baffling announcement in January by the US Federal Communications Commission (FCC) chairman Julius Genachowski that the FCC intends to open up almost 200MHz of spectrum in the 5GHz band to unlicensed users, starting almost immediately? As the FCC itself points out, this would be the largest block of unlicensed spectrum to be made available for Wi-Fi in nearly te
  • January 30, 2012
    IntelliDrive, connectivity, safety, mobility and the environment?
    Shelley Row, Director of the ITS Joint Program Office, US Department of Transportation, details the new five-year ITS Strategic Research Plan. Imagine a world where vehicles of all types can talk to each other in order to reduce or eliminate crashes, where vehicles can talk to traffic signals to eliminate unnecessary stops, where travellers can get accurate travel time information about all modes and route options, and where transportation managers have data which allows them to accurately assess multimodal