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

  • Radar effective as detection tool for hard shoulder running
    July 23, 2012
    Navtech Radar's millimetric-wave systems are being researched on the M42 in England to look into how this type of detector can assist in the opening of the hard shoulder as an additional running lane. Here, the company's Stephen Clark talks about the technology being used. In England, the Highways Agency's (the HA, an executive agency of the Department for Transport) Managed Motorways system - formerly called Active Traffic Management - uses electronic signs and signals mounted on gantries to direct drivers
    Read More
  • Wejo unveils data products to predict traffic build-up
    September 24, 2019
    Wejo has launched three products using connected vehicle data which it says can pinpoint where and when traffic is going to build up. Wejo founder Richard Barlow says the company has curated more than 130 billion miles of data, showing “the positive impact connected vehicles have on solving some of today’s biggest challenges facing road users”. He adds: “Drivers get direct benefits from sharing their connected vehicle data enabling their journeys to be faster, safer and less polluting.” The compan
    Read More
  • Growth of ANPR applications for enforcement, tolling and more
    February 1, 2012
    Automatic number plate recognition continues to find new applications beyond the traditional. In coming years, we can expect the application set to grow significantly Moore's Law has seen to it that computer processing power has improved out of all comparison in the 30-plus years since the first working Automatic Number Plate Recognition (ANPR) system was created by the UK's Police Scientific Development Branch. The attendant increases in systems' capabilities have resulted in ANPR being deployed globally
    Read More
  • C/AVs & smart cities: a symbiotic relationship, says WSP
    December 5, 2018
    C/AVs and smart cities are still in their infancy. But Mike Warren suggests thatintegrating their data and services can create a co-operative relationship that improves safety, liveability and the economy for citizens The recent technological boom has led to two major public advances: connected and automated vehicles (C/AVs) and smart cities. While these are significant in their own right, when coupled together they create a new way in which citizens can access city services; live in safer, environment
    Read More

Highlighted Content