Denso and Toyota Tsusho use Quantum computer to analyse IoT data

Denso and Toyota Tsusho (TT) have joined forces in Thailand to process vehicle location and travel data in real-time from around 130,000 commercial vehicles using D-Wave Systems' quantum computer to process data from a traffic IoT platform. The test aims to advance research and development on technology for connected vehicles and transportation systems.
December 19, 2017 Read time: 1 min
Denso and 1686 Toyota Tsusho (TT) have joined forces in Thailand to process vehicle location and travel data in real-time from around 130,000 commercial vehicles using D-Wave Systems' quantum computer to process data from a traffic IoT platform. The test aims to advance research and development on technology for connected vehicles and transportation systems.


Both companies will also implement quantum computer-based data analysis and processing technologies from TSquare (TS). Denso’s new algorithm will then process and analyse quantum computer-based data, and TT will integrate it into a new application on the TS platform. Findings will help guide to make development to make transportation more efficient in areas such as traffic congestion and route optimization for emergency vehicles.

Quantum computers are designed with the intention of performing calculations to find a large number of combinations simultaneously and are said to analyse certain data faster than conventional computers.

Classification & Data Collection

For more information on companies in this article

Related Content

  • Iteris & Otonomo 'unlock mobility infrastructure'
    January 25, 2023
    Connected vehicle data will be shared by companies to improve traffic intelligence
    Read More
  • ITS needs data highways
    November 18, 2014
    Transport and traffic data is on the increase but there must be an integrated data highway to derive the maximum ITS benefits, argues Deutsche Telekom. From public transport operators recording increasingly precise and comprehensive data on their vehicle’s position and driving behaviour to local authorities using RFID and video systems to control traffic on their streets and highways, the amount of traffic data is growing rapidly.
    Read More
  • Hayden AI and Lyt agree mobility cooperation
    February 27, 2024
    Firms will combine real-time data and location accuracy with transit signal priority
    Read More
  • Regulating rural road use
    June 20, 2016
    David Crawford looks at problems facing indigenous communities and those unfamiliar with driving in rural areas. While it is well known that the fatality rate for road crashes in rural areas is higher than in towns and cities, some groups suffer far more than others. For instance, the rates of death and serious injury from vehicle accidents is much higher for American Indian and Alaska Native (AI and AN) populations living in rural tribal lands than for any of the country’s other ethnic populations. Crashes
    Read More

Highlighted Content