Here demonstrates precise mapping, data analytics

Here, a leader in navigation, mapping and location experiences, will come to the 2015 ITS World Congress with a powerful message: precise maps and connected data analytics hold the key to ITS. As the company points out, a city in motion generates a tremendous quantity of data, yet for the most part these data are still untapped and their potential value not fully leveraged. They are likely not shared with a broad network and probably not examined in a wider context with other data.
July 31, 2015 Read time: 2 mins
Highly precise map data from Here will enable automation in transportation and mobility, the company says

7643 Here, a leader in navigation, mapping and location experiences, will come to the 2015 ITS World Congress with a powerful message: precise maps and connected data analytics hold the key to ITS. As the company points out, a city in motion generates a tremendous quantity of data, yet for the most part these data are still untapped and their potential value not fully leveraged. They are likely not shared with a broad network and probably not examined in a wider context with other data.

That’s where Here comes in. As the company will demonstrate to delegates, it is taking advantage of recent innovations in connectivity and location analytics to not only combine data flowing from vehicles, devices and infrastructure, but to analyse and make use of them in real-time. It envisions a highly-precise, living map of our cities and road networks, with ‘location’ acting as the bond that unites data flowing from all these different sources. Such a map, Here says, is vital if cities, governments and automakers want to move towards greater automation in transportation and mobility.

The company is already moving quickly ahead, launching a new platform called Digital Transportation Infrastructure that provides cost effective, interoperable analytical software and E2E integration services for Cooperative Intelligent Transportation (c-ITS). That will be the main showcase for the company at the ITS World Congress. The team has just started work on a three-year pilot in Finland to devise a road hazard warning system utilizing its location cloud. Using LTE networks and real drivers, it’s the first pilot that meets the requirements of the European Intelligent Transportation Systems (ITS) directive.

For more information on companies in this article

Related Content

  • Aimsun assesses Spain V2X impact
    June 21, 2022
    An Aimsun project with C-Roads Spain to assess the impact of Day 1 V2X services has been completed: Aimsun senior transportation modeller Laura Torres explains some of the results
    Read More
  • Nokia powers future of highways – one network at a time
    April 28, 2025

     

    Cutting-edge ITS technologies are exciting — with their potential for delivering safer, more sustainable and efficient highway travel. But they don’t operate in isolation. To perform at their best, they need a mission-critical communications network with outstanding capabilities, supporting connectivity from the roadside spanning the wide area to the data centre.

    Read More
  • ITS European Congress expo ‘biggest ever’, says Ertico
    March 28, 2019
    For anybody interested in the latest trends in smart and integrated mobility, June’s ITS European Congress in Brainport-Eindhoven represents an opportunity to share knowledge and learn about the latest technologies and policy developments. That is the message from organiser Ertico – ITS Europe, which adds that the Congress in the Netherlands is expected to attract around 3,000 participants from over 50 countries, and will feature more than 100 sessions and workshops, many demonstrations and technical to
    Read More
  • 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
    Read More

Highlighted Content