Skip to main content

Here unveils latest real-time data services for automotive industry

Location mapping specialist Here is to introduce new vehicle-sourced data services for the auto industry, enabling drivers to access this view of the road through four services that provide information on traffic conditions, potential road hazards, traffic signage and on-street parking.
September 27, 2016 Read time: 1 min

Location mapping specialist 7643 Here is to introduce new vehicle-sourced data services for the auto industry, enabling drivers to access this view of the road through four services that provide information on traffic conditions, potential road hazards, traffic signage and on-street parking.

According to Here, its Open Location Platform aims to harness real-time data generated by the on-board sensors of connected vehicles to create a live representation of the road environment.

Here will start by sourcing sensor data from vehicles manufactured by its owners Audi, BMW and Mercedes-Benz cars, with plans to later expand to include data from other automakers.

The Open Location Platform will harness the data to deliver four services, Here Real-Time Traffic; Here Hazard Warning; Here Road Signs; and Here On-Street Parking.

Here plans to make the services commercially available to any automaker, municipality, road authority, smartphone maker or app developer to licence from the first half of 2017. As connectivity and vehicle sensor technologies become more pervasive across the industry, Here also plans for other automakers to be able to contribute their vehicle data.

For more information on companies in this article

Related Content

  • Siemens to provide V2I technology for Florida pilot connected vehicle pilot project
    March 24, 2016
    Siemens, as a member of the Tampa-Hillsborough Expressway Authority (THEA) team, has been chosen by the US Department of Transportation (USDOT) to provide vehicle-to-infrastructure (V2I) technology for a new connected vehicle pilot project. Siemens V2I technology will enable vehicles and pedestrians to communicate with traffic infrastructure like intersections and traffic lights in real-time to reduce congestion specifically during peak rush hour in downtown Tampa. The technology will also help improve s
  • US DOT proposes broader use of event data recorders
    December 10, 2012
    In an effort to help improve vehicle safety, the US Department of Transportation’s National Highway Traffic Safety Administration (NHTSA) has proposed a new standard that would capture valuable safety-related data in the seconds before and during a motor vehicle crash. The proposed rule would require automakers to install event data recorders (EDRs), devices that collect specific safety related data, in all light passenger vehicles beginning in September 2014. “By understanding how drivers respond in a cras
  • Euro NCAP to drive adoption of AEB systems for safer cars in Europe
    June 14, 2012
    Euro NCAP (New Car Assessment Programme) has published the results of its survey on the availability of autonomous emergency braking (AEB) systems in Europe and reveals that its vehicle safety rating assessment programme will include AEB technologies in its star rating from 2014. Real world performance data suggests AEB systems can reduce accidents by up to 27 per cent. Although the introduction of these active safety technologies is reducing road deaths and injuries, the availability of AEB in Europe is fa
  • Targeted roadside advertising project uses deep learning to analyse traffic volumes
    June 22, 2016
    A targeted roadside advertising project for digital signage using big data and deep learning just launched in Tokyo, Japan, by US smart data storage company Cloudian will focus on vehicle recognition and the ability to present relevant display ads by vehicle make and model. Together with Dentsu, Smart Insight Corporation, and QCT (Quanta Cloud Technology) Japan, and with support from Intel Japan, the project will conduct, at its first stage, deep learning analysis – artificial intelligence (AI) for recog