Tire Technology International
  • News
    • A-D
      • Appointments
      • Apps
      • Awards
      • Business
      • Certification
      • Components
      • Corporate Social Responsibility
      • Data management
      • Design
      • Distribution
    • E-N
      • Education
      • Factory logistics
      • Headquarters
      • Industry 4.0
      • Investments
      • Machine Vision & Inspection
      • Manufacturing Facilities
      • Materials
      • New tires
    • O-S
      • OE Fitments
      • Partnerships
      • People
      • Regulations
      • Research & Development
      • Retreading
      • Sales facilities
      • Show News
    • S-Z
      • Simulation
      • Sustainability
      • Testing & Analysis
      • Tire Building
      • Tire handling
      • Tire Modeling & Digital Tools
      • Tire Recycling
      • TPMS & Electronics
  • Features
  • Online Magazines
    • July 2023
    • March 2023
    • Annual Showcase 2022
    • November 2022
    • October 2022
    • 年国际轮胎技术年刊
    • Archive Issues
    • Subscribe Free!
  • Opinion
  • Videos
  • Supplier Spotlight
  • Events
LinkedIn Facebook Twitter
  • Automotive Interiors
  • Automotive Testing
  • Autonomous Vehicle
  • Automotive Powertrain
  • Professional Motorsport
  • Media Pack
LinkedIn Facebook
Subscribe
Tire Technology International
  • News
      • Appointments
      • Apps
      • Awards
      • Business
      • Certification
      • Components
      • Corporate Social Responsibility
      • Data management
      • Design
      • Distribution
      • Education
      • Factory logistics
      • Headquarters
      • Industry 4.0
      • Investments
      • Machine Vision & Inspection
      • Manufacturing Facilities
      • Materials
      • New tires
      • OE Fitments
      • Partnerships
      • People
      • Regulations
      • Research & Development
      • Retreading
      • Sales facilities
      • Show News
      • Simulation
      • Sustainability
      • Testing & Analysis
      • Tire Building
      • Tire handling
      • Tire Modeling & Digital Tools
      • Tire Recycling
      • TPMS & Electronics
  • Features
  • Online Magazines
    1. March/April 2025
    2. November 2024
    3. Annual Showcase 2024
    4. October 2024
    5. July 2024
    6. March 2024
    7. 年国际轮胎技术年刊
    8. Subscribe Free!
    Featured
    28th April 2025

    In this Issue – March/April 2025

    Online Magazines By Web Team
    Recent

    In this Issue – March/April 2025

    28th April 2025

    In this Issue – November 2024

    11th December 2024

    In this Issue – Annual Showcase 2024

    21st November 2024
  • Opinion
  • Videos
  • Awards
    • Tire Technology International Awards 2025
    • 2024 Winners
    • 2023 Winners
    • 2022 Winners
    • 2020 Winners
    • Previous Winners
  • Supplier Spotlight
  • Events
LinkedIn Facebook
Subscribe
Tire Technology International
Tire Modeling & Digital Tools

AI drives predictive tire condition modeling

Lawrence ButcherBy Lawrence Butcher28th July 20202 Mins Read
Share LinkedIn Twitter Facebook Email

Physically monitoring the condition of tires in use, beyond simple pressures and temperatures, is a current hot topic for tire manufacturers, particularly in the commercial vehicle sector. Toyo has responded with the development of an AI-based system that models tire condition in real time, based on a combination of data from sensors combined with weather, manufacturing and vehicle duty cycle information.

The most common means of measuring tire condition is through operators physically checking parameters such as tread depth. Toyo says that its new system will reduce the need for time-consuming physical checks and thus increase efficiency for fleet managers.

Although it is possible to visually monitor the condition of tires using systems such as thermal imaging, the hardware needed is expensive and needs to be integrated with existing vehicle systems. Toyo’s system relies primarily on data from TPMS equipment, which is standard on many vehicles, combined with specific data on the tire types fitted and GPS information on speed, acceleration and travel distance.

The company points out that the amount of wear and the aging patterns of tires vary considerably depending on the service details of a specific vehicle, and thus the GPS data is a vital element in any predictive model. The estimation model combines all of this data and uses AI to analyze it, drawing a prediction on the likely state of tire wear across a vehicle’s axles.

Toyo says it worked with a number of partners on development of the system, including Nihon Tata Consultancy Services on the hardware and SAS Institute Japan on the predictive model.

The concept is still in the development stage, but Toyo hopes to roll it out as service in the near future.

Share. Twitter LinkedIn Facebook Email
Previous ArticleHankook’s Laufenn enters UK commercial market
Next Article The growing importance of sustainable operations

Related Posts

Intelligent tire technology

Michelin partners with Beontag on RFID-enabled smart tires

13th December 20242 Mins Read
Testing & Analysis

Nexen Tire uses AI for tire inspection

9th October 20242 Mins Read
Tire Modeling & Digital Tools

Toyo Tires selects HPE’s HPC system to improve tire design and development

27th August 20242 Mins Read
Latest News

USTMA welcomes move to overturn EPA’s revised NESHAP rules

13th May 2025

Bridgestone debuts 70% recycled and renewable demo tire

13th May 2025

Volkswagen chooses Vredestein winter tire as OE for Tiguan SUV

12th May 2025

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Supplier Spotlights
  • RJS Corporation
Getting in Touch
  • Contact Us
  • Meet The Editors
  • Download Media Pack
  • Free Weekly E-Newsletter
Our Social Channels
  • Facebook
  • LinkedIn
RELATED UKI TOPICS
  • Automotive Interiors
  • Automotive Testing
  • Autonomous Vehicle
  • Automotive Powertrain
  • Professional Motorsport
  • Media Pack
© 2025 UKi Media & Events a division of UKIP Media & Events Ltd
  • Terms and Conditions
  • Privacy Policy
  • Cookie Policy
  • Notice & Takedown Policy

Type above and press Enter to search. Press Esc to cancel.

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Cookie settingsACCEPT
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the ...
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

CookieDurationDescription
cookielawinfo-checkbox-necessary1 yearSet by the GDPR Cookie Consent plugin, this cookie records the user consent for the cookies in the "Necessary" category.
elementorneverThe website's WordPress theme uses this cookie. It allows the website owner to implement or change the website's content in real-time.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

CookieDurationDescription
OAGEOsessionOpenX sets this cookie to avoid the repeated display of the same ad.
OAID1 yearCookie set to record whether the user has opted out of the collection of information by the AdsWizz Service Cookies.
test_cookie15 minutesdoubleclick.net sets this cookie to determine if the user's browser supports cookies.
VISITOR_INFO1_LIVE5 months 27 daysYouTube sets this cookie to measure bandwidth, determining whether the user gets the new or old player interface.
YSCsessionYoutube sets this cookie to track the views of embedded videos on Youtube pages.
yt-remote-connected-devicesneverYouTube sets this cookie to store the user's video preferences using embedded YouTube videos.
yt-remote-device-idneverYouTube sets this cookie to store the user's video preferences using embedded YouTube videos.
yt.innertube::nextIdneverYouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen.
yt.innertube::requestsneverYouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

CookieDurationDescription
CONSENT2 yearsYouTube sets this cookie via embedded YouTube videos and registers anonymous statistical data.
_ga1 year 1 month 4 daysGoogle Analytics sets this cookie to calculate visitor, session and campaign data and track site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors.
_ga_*1 year 1 month 4 daysGoogle Analytics sets this cookie to store and count page views.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

CookieDurationDescription
__cf_bm30 minutesCloudflare set the cookie to support Cloudflare Bot Management.

SAVE & ACCEPT
Powered by