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

  • After two decades of research, ITS is getting into its stride
    June 4, 2015
    Colin Sowman gets the global view on how ITS has shaped the way we travel today and what will shape the way we travel tomorrow. Over the past two decades the scope and spread of intelligent transport systems has grown and diversified to encompass all modes of travel while at the same time integrating and consolidating. Two decades ago the idea of detecting cyclists or pedestrians may have been considered impossible and why would you want to do that anyway? Today cyclists can account for a significant propor
    Read More
  • New opportunities in a data-rich future
    March 19, 2014
    Jason Barnes looks at where the detection and monitoring sector is heading. In the future, there will be no such thing as an un-instrumented road. Just a short time ago, that could have been a quote from a high-level policy document but with the first arrivals of vehicles with 802.11p connectivity – the door-opener to Vehicle-to-X (V2X) applications – it’s a statement which has increasing validity. The technology which uses our roads will also provide information on road conditions but V2X isn’t the only
    Read More
  • Seyond expands Lidar testing in Peachtree Corners
    May 8, 2024
    Firm will roll out more of its systems for real-world data collection in Georgia city
    Read More
  • Indra project aims to develop automated vehicle occupancy identification
    September 1, 2017
    Technology company Indra is leading the European R&D&i project BeCamGreen, which aims to develop a solution based on computer vision and big data, to contribute to reducing traffic, that enables the automated identification of vehicle types and their number of occupants, in real time and with precision.
    Read More

Highlighted Content