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

  • Data exploits parking potential
    March 11, 2015
    David Crawford parallel parks with innovations in two continents. Surveys of US cities indicate that drivers searching for parking can account for up to 37% of all urban traffic congestion. A 2011 study by IBM of 20 cities around the world found that nearly six out of ten drivers had abandoned their search for a parking space at least once; while motorists generally spent on average 20 minutes looking for a sought-after spot.
    Read More
  • San Diego: Let there be (street)light
    March 30, 2020
    The influence of intelligent streetlights is spreading. David Crawford finds that San Diego’s deployment – and attendant legislation – may offer a blueprint for other cities going forward
    Read More
  • Social media mooted for traffic management
    November 13, 2012
    SQLstream’s Ronnie Beggs discusses with Jason Barnes the potential and pitfalls of using social media for traffic monitoring and management. cataclysmic events such as hurricanes and tsunami have challenged perceptions of what constitutes robust traffic management infrastructure in recent times. Presumptions that only fixed systems could offer high levels of unbroken service, accuracy and communication bandwidth, have been taught some hard lessons by nature. In many respects wireless systems now represent t
    Read More
  • MIT study combines traffic data for smarter signal timings
    April 1, 2015
    Researchers at Massachusetts Institute of Technology (MIT) have found a method of combining vehicle-level data with less precise, but more comprehensive, city-level data on traffic patterns to produce better information than current systems provide. They claim this reduce delays, improve efficiency, and reduce emissions. The new findings are reported in a pair of papers by assistant professor of civil and environmental engineering Carolina Osorio and alumna Kanchana Nanduri, published in the journals Tra
    Read More

Highlighted Content