Skip to main content

Wyoming develops open-source RSU monitoring app

A connected vehicle project in the US state of Wyoming has developed an open-source application to allow third parties to monitor safety along the I-80 highway. The Wyoming Department of Transportation (WYDoT) Connected Vehicle Pilot includes the deployment of 75 roadside units (RSUs) along 400 miles of I-80. WYDoT’s app allows authorised transportation management centre (TMC) operators to monitor and manage each RSU on the route – and can also be used to let the travelling public know what is happening.
September 16, 2019 Read time: 2 mins

A connected vehicle project in the US state of Wyoming has developed an open-source application to allow third parties to monitor safety along the I-80 highway.

The Wyoming Department of Transportation (WYDoT) Connected Vehicle Pilot includes the deployment of 75 roadside units (RSUs) along 400 miles of I-80. WYDoT’s app allows authorised transportation management centre (TMC) operators to monitor and manage each RSU on the route – and can also be used to let the travelling public know what is happening.

Wyoming’s roads are characterised by lengthy drive times and harsh winter weather, so effective monitoring of RSUs – to ensure they are managed and updated as necessary - is vital.

The TMC part of the application, called Service Monitor Device Management, gives WYDoT TMC operators a “quick, real-time, single view into RSU status and management”. They can remotely manage each RSU and perform reboots, check and update firmware, view active traveller information messages (TIMs) and see how many connected vehicles have driven past in the last 24 hours.

WYDoT says that a new National Transportation Communications for Intelligent Transportation Systems Protocol standard (NTCIP 1218 v01, Object Definitions for RSUs) is currently in development and will define the protocols for configuring, operating and maintaining RSUs from a TMC.

There is also a view-only mode, which allows users to view specific stretches of I-80, seeing how TIMs are being pushed out to RSUs and how many vehicles are receiving the messages.

Related Content

  • Kapsch given OmniAir nod for connected vehicle RSUs
    October 7, 2019
    Kapsch has received certification for the RIS-9160 and RIS-9260 connected vehicle roadside units (RSUs) from the OmniAir consortium. The green light from OmniAir confirms RSUs meet operational standards set by the Institute of Electrical and Electronic Engineers, Society of Automotive Engineers and specifications from the US Department of Transportation (USDoT). The company says each unit enables Vehicle to Infrastructure communication when implemented with corresponding in-vehicle on-board units (OBUs).
  • Driverless shuttle makes progress on achieving third phase of testing in California
    October 16, 2017
    EasyMile’s partners Contra Costa Transportation Authority (CCTA) and GoMentum has received permission from the National Highway Traffic Authority to test EasyMile's EZ10 driverless shuttles on public roads within the Bishop Ranch business park in San Ramon, California. CCTA staff are in active discussions with the California Department of Motor Vehicles who will also need to give their consent for the third phase of the trial to go ahead.
  • Machine vision needs standards to fulfil ITS demands
    May 28, 2014
    No-one should expect the enabling qualities of machine vision to come free of charge but Jason Barnes finds there is still much that ITS stakeholders can do to help reduce costs. After many years of application in high-end solutions for the enforcement and tolling sectors, machine vision is gaining traction in more general areas of traffic management. Nevertheless, those OEMs producing transport-oriented solutions which incorporate machine vision and looking to increase the technology’s share of the ITS mar
  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a