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

  • Pony.ai & Sany go AV trucking
    August 19, 2022
    Joint venture will see companies develop Level 4 autonomous truck for mass production
  • Cross referencing data sets reveals now decision support information
    November 18, 2014
    Combining previously unrelated sets of data can provide an in-depth view of travel patterns. "Through the use of analytical tools, Urban Insights seeks to help transportation organisations benefit from the vast amounts of detailed data they collect every day.”
  • Woven Planet maps future with Carmera
    July 16, 2021
    Autonomous vehicle mapping specialist to be acquired by Toyota Motor Corp subsidiary
  • Integrate systems to reduce roadside infrastructure
    January 27, 2012
    David Crawford reviews promising current developments. Instrumentation of the road infrastructure has grown to become one of the most dynamic sectors of the ITS industry. Drivers for its deployment include global concerns over the commercial and environmental pressures of traffic congestion, the importance of keeping drivers informed throughout their journeys, and the need to reduce accident rates and promote the safety of all road users, for example by enforcing traffic safety rules.