Skip to main content

USDOT releases vehicle to pedestrian technical scan summary

The US Department of Transportation (USDOT) has released a summary of the vehicle-to-pedestrian (V2P) technologies that are available to the public. The technical scan was reviewed available literature and existing technology to identify pedestrian collision warning applications and assess their suitability to be adopted under the Intelligent Transportation System Joint Program Office (ITS JPO) Connected Vehicle Program. The scan and subsequent database outlines the current V2P technological landscape.
June 8, 2015 Read time: 2 mins
The 324 US Department of Transportation (USDOT) has released a %$Linker: 2 External <?xml version="1.0" encoding="utf-16"?><dictionary /> 0 0 0 oLinkExternal summary Download Tech Scan Database report false http://www.its.dot.gov/press/2015/V2P_TechScanDatabase.xlsx false false%> of the vehicle-to-pedestrian (V2P) technologies that are available to the public.  

The technical scan was reviewed available literature and existing technology to identify pedestrian collision warning applications and assess their suitability to be adopted under the Intelligent Transportation System Joint Program Office (ITS JPO) Connected Vehicle Program. The scan and subsequent database outlines the current V2P technological landscape.
 
The technologies are summarized in the V2P Technology Database, which was developed from August 2014 to October 2015 and is continually updated as new technologies become available. The most recent update to the database was completed in May 2015.
 
In total, 86 V2P technologies have been identified. While a number of the technologies are camera-based (17), others are likely to gain traction as the broader technological landscape evolves-making more advanced devices more easily accessible and less expensive.
 
The majority of the V2P safety technologies identified incorporate some form of visual notification method. Although this form of notification/warning may be effective, it may take visual attention away from the roadway (for both pedestrians and motorists) at a time when it is especially critical.
 
Each of the existing and developing technologies identified are described and classified based on various characteristics such as detection method (e.g., cameras, eight sensors); crash type addressed with technology; users alerted (e.g., pedestrian or cyclist); alert/notification type (e.g., mobile phone alert); cost; roadway characteristics where system may be used; environmental characteristics specifically addressed by the technology; and interventions made by the technology.

For more information on companies in this article

Related Content

  • VW goes electric in China
    April 30, 2018
    Volkswagen will invest €15bn in electric and autonomous vehicles (AVs) in China by 2022, according to a report by Euractiv.com. Herbert Diess, the German carmaker’s chief executive, claimed at a press conference in Beijing that the money would make mobility cleaner, safer and more intelligent to help improve people's lives.
  • Activu highlights new TMC visualization and collaboration system
    April 23, 2013
    Activu is showcasing its new visualisation and collaboration system for traffic management centers that enables real-time coordination with other agencies such as fire, police, EMS and HAZMAT.
  • ITS European Congress: final call for papers
    December 21, 2018
    Time is running out for submissions to the ITS European Congress in Brainport, Netherlands, in June. ITS experts have until 11 January to submit special interest Sessions proposals and papers to be considered for presentation and publication at the event. Experts are invited to share ideas and discuss mobility challenges that cities face and how they can be addressed through ITS solutions. Draft papers should be a minimum of five pages for technical and commercial topics, and nine pages for scient
  • High-speed markings measurement from AMAC
    March 25, 2014
    The Advanced Mobile Asset Collection (AMAC) system measures traffic sign and pavement marking retroreflectivity while creating a comprehensive asset inventory and condition assessment. AMAC was developed through a team of engineers, physicists, psychologists and statisticians by DBi/Cidaut Technologies, a partnership between the US’s DBi Serives and Spain’s CIDAUT Foundation.