Skip to main content

Toyota, Intel, form automotive big data consortium

Toyota Motor Corporation, Intel Corporation and other technology companies including Denso, Ericsson, telecommunications company NTT DoCoMo and Toyota InfoTechnology Centre, have formed a consortium to develop an ecosystem for big data used in connected cars. The Automotive Edge Computing Consortium plans to use big data to support emerging services such as intelligent driving, the creation of maps with real-time data and driving assistance based on cloud computing.
August 14, 2017 Read time: 2 mins

1686 Toyota Motor Corporation, 4243 Intel Corporation and other technology companies including Denso, 5650 Ericsson, telecommunications company 7342 NTT DoCoMo and Toyota InfoTechnology Centre, have formed a consortium to develop an ecosystem for big data used in connected cars.

The Automotive Edge Computing Consortium plans to use big data to support emerging services such as intelligent driving, the creation of maps with real-time data and driving assistance based on cloud computing.

It is estimated that the data volume between vehicles and the cloud will reach 10 exabytes per month around 2025, approximately 10,000 times larger than the present volume, says Toyota.

The consortium will focus on increasing network capacity to accommodate automotive big data in a reasonable fashion between vehicles and the cloud by means of edge computing and more efficient network design. It will define requirements and develop use cases for emerging mobile devices with a particular focus on the automotive industry, bringing them to standards bodies, industry consortiums and solution providers. The consortium will also encourage the development of best practices for the distributed and layered computing approach recommended by the members.

For more information on companies in this article

Related Content

  • Smart living is key for PTV
    September 7, 2016
    As well as featuring its involvement in an innovative new test bed in Australia, PTV Group will use the ITS World Congress Melbourne to highlight that smart living needs to be based on smart solutions. As the company points out, buildings and infrastructure pop up like mushrooms creating a steadily rising number of mega-cities and more people means less individual space and increased mobility challenges.
  • Artificial Intelligence applications for commercial vehicle operations
    December 28, 2021
    The combination of machine learning, deep neural networks and computer vision provides opportunities to address in new ways an increasing range of functions that are a part of commercial vehicle operations. Here, IRD’s Rish Malhotra details how.
  • Transition to Shared Mobility: How cities can deliver inclusive transport services
    June 2, 2017
    A new study released by the International Transport Forum (ITF) examines how cities can manage the challenges of geographical scale and transition to shared mobility services.
  • Advances in real time traffic and travel information
    March 16, 2012
    David Crawford admires TomTom’s flying start to 2012. Gobal location and navigation equipment supplier TomTom rang in 2012 with two strategically important announcements. First was the signing of a deal with Korean electronics giant Samsung, representing an important consolidation of its position in the consumer market. Under this agreement, TomTom maps and location content will power the Samsung Wave3 smartphone, launched in autumn 2011. TomTom data will support navigation and search-and-find applications