Skip to main content

US DoT RFI regarding nomadic mobility data collection devices

The US Department of Transportation has announced a Request for Information (RFI) for documents related to nomadic devices for real time data collection. The purpose of the notice is to obtain information, for planning purposes, concerning the availability of nomadic data collection devices for real time travel data with what are perceived to be unique capabilities for operating in a highly mobile environment; and to determine whether the needed capabilities exist or where there are gaps that need to be fil
June 28, 2012 Read time: 2 mins
The 324 US Department of Transportation has announced a Request for Information (RFI) for documents related to nomadic devices for real time data collection. The purpose of the notice is to obtain information, for planning purposes, concerning the availability of nomadic data collection devices for real time travel data with what are perceived to be unique capabilities for operating in a highly mobile environment; and to determine whether the needed capabilities exist or where there are gaps that need to be filled, through the development and certification of new data acquisition devices and/or systems.

Information gathered through public comment will inform decisions on whether and how to acquire devices as part of the 781 ITS JPO (Joint Program Office) connected vehicle mobility research programme's testing agenda. The notice provides a high-level description of the envisioned capabilities of the devices. Respondents are invited to comment on any of the items described herein; in particular, respondents are encouraged to address the specific questions featured at the end of this RFI.

To learn more, visit www.fbo.gov.

For more information on companies in this article

Related Content

  • New Guideline helps states better collect crash data
    July 3, 2012
    The Governors Highway Safety Association (GHSA) in the US has announced that the 4th Edition of the Model Minimum Uniform Crash Criteria (MMUCC) Guideline has been posted online at www.mmucc.us. The voluntary guideline helps states determine what data to collect at the scene of a motor vehicle crash. The Guideline will, among other things, help states better capture data for emerging issues such as distracted driving, secondary crashes and incidents on private property as well as determine the level of seri
  • Manchester seeks smart but not selective transport solutions
    January 25, 2018
    Smarter transport relies on better communications both with travellers and between transport providers. Andrew Williams reports. Inrix’s prediction that the cost of traffic congestion will rise by 63% to £21bn per year by 2030 clearly illustrates that, in addition to the ongoing inconvenience and inefficiency, ongoing gridlock is a significant drain on the economy. It is against this backdrop that a Cisco-led consortium has launched CitySpire, a smart transport programme that uses location-based services a
  • ITS for Urban Mobility forum report
    May 16, 2012
    A joint initiative of Ertico – ITS Europe, the European Commission and Eurocities, a Forum on ITS for Urban Mobility was held in Brussels yesterday to discuss and provide feedback on the draft guidelines for the deployment of ITS in urban areas, developed by DG Move’s Expert Group on Urban Mobility. As Nicolas White reports, the guidelines discussed focused on three crucial aspects of urban ITS: multimodal information services, smart ticketing and traffic management & urban logistics.
  • Proposed system to take guesswork out of choosing a freeway lane
    March 17, 2014
    A fledgling advanced lane management assist system can take the guesswork out of selecting the right lane on a congested freeway, as its inventor Robert Gordon explains. As drivers we’ve all done it and control room staff see it all the time – motorists on congested freeways switching into what they perceive is a faster lane, only to come to a halt a few moments later and watch vehicles in the other lanes continue to move past. Now, by re-analysing readily available data in an advanced lane management as