When the tyre industry speaks today about digitalisation, virtual validation and sustainability, it often does so in abstract terms – models, data sets, algorithms and computing power. Yet, at its core, tyre development remains an intrinsically human endeavour. Grip, stability, steering feel and ride comfort are ultimately experienced by people, not machines. Bridging that divide between digital precision and human perception has become one of the defining challenges of modern tyre R&D.

Few companies sit more squarely at that intersection than Ansible Motion. Known globally for its high-fidelity Driver-in-the-Loop (DIL) simulators, the company has, over the past decade and a half, quietly reshaped how vehicle manufacturers, motorsport teams and – most notably – tyre makers think about simulation-led development.

At the centre of this evolution is Salman Safdar, Executive Director at Ansible Motion, whose perspective is shaped not only by technological ambition but also by a deep understanding of how tyres influence the driving experience in ways that no other vehicle component can.

ORIGINS ROOTED IN FIRST PRINCIPLES

Although Ansible Motion is frequently associated with motorsport and advanced vehicle simulation, its origin story is less about racing glamour and more about questioning inherited assumptions. When the company was founded in 2009, the dominant simulator architectures used in motorsport had been adapted from aerospace applications – an approach that Safdar and his colleagues believed was fundamentally flawed.

“When we started the company in 2009, it was to provide an alternative to aerospace-derived simulator architectures that were beginning to make their way into motorsport applications. At the time, many high-level racing teams were investing in technologies that were, from a first principles perspective, better suited to simulating aircraft than ground vehicles,” Safdar explains.

Aircraft and cars, after all, interact with their environments in profoundly different ways. Aerodynamic forces act over long distances and gentle arcs, while tyres generate immediate, localised forces through a constantly changing contact patch. Subtle road surface irregularities, rapid directional changes and short-range visual cues define the driving experience on the ground.“We intentionally departed from the popular, but limited, hexapod – or Stewart platform – and invented a novel, six-degree-of-freedom motion system built in logical layers corresponding to primary ground vehicle axes. The intention was that it would be linear, agile and highly dynamic – and that it would be much better suited to simulating ground vehicles than anything else,” Safdar explains.

Tyres, he notes, were central to that architectural rethink from the very beginning. “Tyres are one of the fundamental reasons why ground vehicle simulators need to be architecturally different from aerospace simulators. Directional changes are immediate with tyres… subtle disturbances that result from pavement irregularities are ever-present… human sensory experiences regarding vehicle control and stability are fundamentally different,” he says.

In that sense, tyre performance was embedded in Ansible Motion’s DNA long before the tyre industry itself became a direct customer.

FROM VEHICLE OEMS TO TYRE MANUFACTURERS

For much of its early life, Ansible Motion’s simulators were deployed primarily by vehicle manufacturers and elite motorsport teams. The tyre industry, traditionally more conservative in its adoption of immersive simulation, took longer to engage directly. That has now changed decisively.

“Today, the tyre industry is a core strategic pillar in our simulation R&D and sales pipeline, alongside OEM vehicle development, advanced mobility research programmes and motorsport. Currently, Michelin, Continental, Nexen, and most recently, Kumho Tire are trusting Ansible Motion driving simulators to develop their next generation of tyres,” Safdar says.

This shift reflects broader pressures reshaping tyre R&D. Development cycles are shortening, sustainability targets are tightening and the cost of physical testing – both financial and environmental – is under intense scrutiny. At the same time, the rise of electric vehicles has introduced new performance trade-offs, forcing tyre engineers to balance rolling resistance, noise, durability and grip in unfamiliar combinations.

Against this backdrop, Driver-in-the-Loop simulation has emerged as a powerful complement to conventional modelling and laboratory testing.

WHY DRIVER-IN-THE-LOOP MATTERS

At its simplest, DIL simulation places a human driver inside a virtual vehicle, interacting in real time with simulated tyres, roads and vehicle systems. For Safdar, the value lies precisely in that human presence.

“The key aspect of Driver-in-the-Loop simulation is the human element. Unlike other simulation and lab testing approaches, DIL simulation invites – in fact, it requires – human participation,” he says.

Modern tyre development depends on a complex interplay between objective metrics and subjective perception. Measurements of braking distance, lateral force or rolling resistance must ultimately align with how a tyre feels to a driver – how it communicates grip, how it responds on centre, how it rides over imperfect surfaces.

DIL simulators allow these subjective attributes to be explored much earlier in the development cycle and more frequently than is possible with physical prototypes alone. Crucially, this happens in parallel with traditional simulation and modelling work, not in isolation.

“This allows critical decisions to be made early enough to avoid delays and unexpected expenses in later stages of programmes. It also reduces costs and environmental impacts due to reduced prototyping,” Safdar notes.

Beyond efficiency gains, Safdar emphasises a less tangible but equally important benefit: collaboration. DIL simulators function as hubs where engineers, test drivers and decision-makers can converge around a shared experience.

“In a sense it enables tyre engineers to be engineers – so they can be more creative in a lower-risk environment,” he says.

THE KUMHO TIRE CASE STUDY

The partnership with Kumho Tire provides a clear illustration of how these principles translate into practice. Framed under the banner ‘Driving the Future with Digital Tyres’, the collaboration reflects a shared ambition to accelerate tyre development through digitalisation while embedding subjective assessment earlier in the design process.

“Both Kumho Tire and Ansible have a shared ambition to accelerate tyre development through digitalisation and to inject subjective assessments into earlier tyre design stages,” Safdar says.

Achieving that ambition requires more than just motion hardware. High-fidelity sensory cueing – perfect synchronisation between motion, visuals and steering feedback – is essential if drivers are to trust what they feel in the simulator. Equally important is process optimisation: a computational environment that integrates multiple modelling tools seamlessly and allows engineers to run tests efficiently and extract meaningful data.

Modern tyre development depends on a complex interplay between objective metrics and subjective perception. Measurements of braking distance, lateral force or rolling resistance must ultimately align with how a tyre feels to a driver – how it communicates grip, how it responds on centre, how it rides over imperfect surfaces.

Safdar believes Ansible Motion’s strength lies in precisely that integration capability. “We believe that Kumho Tire, in part, selected Ansible Motion due to our expertise in integrating advanced tyre models with other HIL, MIL, SIL software and hardware elements,” he explains, referencing hardware-, model- and software-in-the-loop methodologies. High-fidelity digital road surfaces, developed by Ansible Motion’s sister company rFpro, also play a key role.

There is also a market reality underpinning the partnership. “Within a highly competitive space, Ansible Motion supplies over 50 percent of engineering-grade DIL simulators to the marketplace. So perhaps there is some confidence in working with us,” Safdar notes.

FROM ASPIRATIONS TO MEASURABLE OUTCOMES

Digital transformation initiatives often falter at the point where aspiration meets execution. Safdar is candid about the need for clear targets and measurable outcomes if DIL simulation is to deliver real value.

“It’s important to have the aspirations in the first place. But it’s important to clearly identify targets and be able to measure achievements towards them,” he says.

He illustrates this using the concept of multi-attribute spider – or radar – charts, commonly used by tyre engineers to visualise trade-offs. For electric vehicle tyres, key attributes might include rolling resistance, durability, noise, wet and dry traction, load capacity and material sustainability. Improvements in one area often come at the expense of another.

“The end goal is to create a tyre that strikes an acceptable balance for a particular vehicle application,” Safdar explains.

The same logic applies to high-performance tyres, albeit with a different set of priorities: dry braking, wet handling, comfort, on-centre feel and tread wear, among others.

“Designing a tyre is a complex process. The utility of DIL simulation lies in its ability to keep real people involved with conceptual – digital – explorations of all the above trade-offs,” he says.

In practical terms, success can be measured in several ways. How much time was saved in reaching a design decision? How many prototype tyres were avoided? Did virtual prototyping improve alignment between objective data and subjective perception?

In some cases, entirely new metrics emerge, such as improved communication between tyre suppliers and vehicle OEMs during fitment programmes.

REPLICATING TYRE-ROAD INTERACTION

A recurring scepticism surrounding simulation is whether virtual environments can ever replicate the complexity of real-world tyre-road interaction with sufficient fidelity. Safdar’s response is clear: the fidelity depends less on the simulator itself and more on the quality of the models it integrates.

“DIL simulation – except for the human participant – is indeed a virtual environment. This means that human-experienced ‘tyres’ and ‘roadways’ and ‘vehicles’ are computer representations,” he says.

Ansible Motion does not develop tyre, road or vehicle models in-house. Instead, it provides an open, scalable co-simulation architecture – the Distributed Data Bus (DDB) – that connects industry-leading third-party models and customer-developed tools in real time.

“This gives our customers an engineering sandbox where they can use and combine different models that come from trusted third-party simulation providers as well as models that they might develop in-house,” Safdar explains.

The result is a test environment where subjective and objective assessments are conducted much as they would be on a proving ground – except that changes are made with keystrokes rather than tools, and hundreds of evaluations can be run without interrupting a driver’s mental state.

Safdar cites a recent example from Ansible Motion’s UK R&D centre, where a customer ran parallel DIL sessions on opposite sides of the globe. Within four hours, the teams gathered sufficient data to inform the next phase of tyre development. The equivalent physical testing, used as a correlation benchmark, had taken two weeks.

“Test drivers were scoring physical tyres against virtual tyres and seeking correlation within five percent – which they achieved,” he says.

THE DELTA S3 ECOSYSTEM

Central to many of these applications is Ansible Motion’s Delta S3 class of DIL simulators, including variants such as the Delta S3 Spin and S3 Thrust. Safdar is careful to describe them not merely as platforms but as complete ecosystems.

“They are turn-key DIL ecosystems that include all aspects of sensory cueing, including high-fidelity motion, visuals, steering feedback, haptics and audio,” he says.

Correlation with real-world data, he argues, is primarily a function of model quality rather than simulator mechanics. The simulator’s role is to deliver sensory cues accurately and collect driver inputs faithfully, while the DDB ensures synchronised execution across all models.

“If a simulator session and its supporting models are set up correctly… correlation is typically not an issue,” Safdar says. Deviations, when they occur, are often treated as valuable insights that help refine the models themselves.

WHERE SIMULATION DELIVERS THE GREATEST VALUE

From a tyre engineer’s perspective, the greatest benefits of simulation-based validation emerge early in the development cycle, when design freedom is at its highest.

“Simulation allows quick sanity checks on the numerous models and directs attention towards focused refinements of the selected few that show promise. This allows significant cost and time saving,” Safdar explains.

Further downstream, DIL simulation can eliminate entire rounds of prototype iterations, particularly in OEM fitment programmes. The return on investment is often easy for tyre manufacturers to quantify. Safdar points to Continental’s estimate that its simulator usage eliminates around 10,000 sets of test tyres per year, along with roughly 100,000 kilometres of physical driving.

MEETING THE EV CHALLENGE

Electric vehicles have intensified the demands placed on tyres. Higher torque loads, increased vehicle mass, stricter noise requirements and heightened sensitivity to rolling resistance all converge in ways that challenge traditional development approaches.

“Ansible Motion simulators can replicate a wide range of EV-specific scenarios, enabling engineers to tune vehicle performance by testing high torque behaviour, instantaneous load changes, lane changes, high-speed cornering and braking, while also modelling NVH and cabin noise more accurately,” Safdar says.

With lightweight vehicle structures limiting the use of sound-deadening materials, tyres play an increasingly prominent role in overall NVH performance. DIL simulators also allow safe exploration of energy efficiency, regenerative braking strategies and charge-deplete cycles.

Crucially, they enable engineers to explore rolling resistance optimisation in the context of competing trade-offs, such as reinforced constructions required to handle battery weight and torque.

DEFINING THE DIGITAL TYRE

Safdar defines a digital tyre as “a validated virtual representation of a real tyre which considers material properties, compound, tread design, tyre profile, contact patch information, aerodynamic and thermodynamic properties.”

Commercial viability depends on establishing strong correlation between digital and physical tyres, often through close collaboration with vehicle OEMs. When implemented effectively, virtual validation reduces reliance on early prototypes – saving time, cost and environmental impact.

“DIL simulation, in particular by incorporating the test driver’s subjective feedback at the early design phase, can inject insights that would otherwise not be discovered, thus avoiding costly late changes,” Safdar notes.

EXPANDING THE GLOBAL FOOTPRINT

Beyond established partnerships with Kumho, Continental and Michelin, Ansible Motion sees growing demand for digital R&D infrastructure across regions, particularly in Asia. OEM-driven virtual development programmes are increasingly mandating simulator use among suppliers.

Emerging markets and new entrants, especially in China’s rapidly expanding EV sector, represent a further growth opportunity. For these companies, simulation offers a way to compete with established brands on speed, cost and measurable ROI.

“Speed, reasonable cost and measurable ROI are key to success. And we’re happy that this falls within the core competencies of Ansible Motion’s products and solutions,” Safdar says.

LOOKING AHEAD

Over the next 5–10 years, Safdar expects tyre development to be shaped increasingly by digital twins and AI-generated models incorporating new compounds and manufacturing processes. Validation demands will rise, as will regulatory scrutiny, making simulation indispensable not only for development but also for homologation.

“Subjective driver evaluation remains a critical cornerstone of the driving experience and brand identity,” he says. Sustainability pressures will further accelerate the shift towards virtual validation.

“If we can help reduce environmental impacts and reliance on physical prototypes, we are happy to be a part of it,” Safdar concludes. “We would like to think that Ansible Motion is positioned as a key enabler of digital, data-driven tyre innovations.”

MESNAC participated in the 2026 Tire Technology Expo, held from 3 to 5 March 2026 at the Hannover International Exhibition Center in Germany. At the event, the company presented its advanced technologies and intelligent manufacturing systems, underscoring its role in advancing smart production and sustainable practices within the global rubber industry.

The company’s presence at the expo featured several technological achievements across key stages of tyre production. Its intelligent mixing solution integrated automated film feeding and cutting mechanisms with AI-powered software, enabling full material traceability and automated handling of rubber compounds. In tyre building, the international version of the NPS PCR one-stage building machine demonstrated exceptional performance with a 35-second production cycle per tyre and a fully unmanned operation. MESNAC also highlighted its full range of curing presses, which incorporate patented electric heating technologies to reduce energy use and support flexible, environmentally responsible manufacturing processes.

In addition to product innovations, MESNAC shared its strategic direction focused on smart manufacturing, localised service and sustainability. By leveraging proprietary artificial intelligence solutions, the company provides integrated smart factory projects that enable data-informed and efficient production. To strengthen its global service network, MESNAC is expanding its footprint with production and service centres in Southeast Asia and other regions, ensuring responsive local support. Looking forward, MESNAC is committed to embedding sustainability into its operations, working towards a low-carbon and circular economy for the rubber sector.

Bridgestone Americas is set to introduce its new Fleet Portal platform at the upcoming Technology and Maintenance Council (TMC) Annual Meeting and Transportation Technology Exhibition, taking place from 16 to 19 March 2026 in Nashville. Designed to streamline and simplify fleet management, the platform consolidates essential digital tools into a single, unified interface to help commercial fleets enhance operational efficiency.

The web-based Fleet Portal brings together various fleet management systems, allowing users to access multiple services with just one login. Key features include oversight of accounts, user permissions, vehicle assets and service records, as well as billing, performance reporting and support resources. The portal also provides direct links to other Bridgestone applications. Integrated within the platform is the Service Dispatch solution, which connects fleets with the Bridgestone Commercial Dealer Network, automates technician deployment and enables comprehensive tracking of service documentation and digital data.

To boost productivity, the platform incorporates automation to analyse data, recommend actions and improve search functionality. Initial features include an automated workflow for service events that reduces duplicate data entry and accelerates tyre repairs based on fleet profiles. A streamlined search function allows quick access to technical documents, troubleshooting guides and reports, while centralised network access provides instant connections to dealer locations and training materials, cutting down on resolution time.

Future enhancements for the Fleet Portal will include AI-powered analytics and advanced workflow automation, aligning with Bridgestone’s broader strategy to integrate artificial intelligence across its customer support tools. At the event, Bridgestone’s booth (#2513) will also feature its latest truck and retread tyres tailored for various applications, with representatives available throughout the exhibition hours.

Josh Holland, Vice President – Network and Fleet Care Solutions, Bridgestone Americas, said, “With the new Fleet Portal, we can centralise all tools and data into a single digital experience for fleets. This integration is key to Bridgestone's customer strategy to connect our fleet solutions in ways that deliver stronger performance with less complexity.”

Steve Hoeft, President – Commercial Truck Group, Bridgestone Americas, said, “Centralising insights and workflows means less manual work, faster decisions and full operational visibility. It’s a major step in the industry’s digital evolution, enabling fleets to move from reactive problem-solving to proactive decision-making and management."

TROESTER GmbH & Co. KG expanded its automation capabilities in 2025 by acquiring SC OTOMASYON, a Turkish company based in Istanbul. The acquired business now operates as TROESTER Robotics and has been fully integrated into the TROESTER Group structure. This strategic move enhances the company’s expertise in automation and robotics while creating synergies that support future growth.

The acquisition marks an important step in TROESTER’s long-term strategy of developing autonomous production systems that enable fully integrated, low-labour manufacturing processes. Through TROESTER Robotics, the company now gains access to robotic applications across the entire tyre factory, from individual process stations to fully networked production lines. This capability addresses growing global demand for robotic solutions, as manufacturers in Europe, China and North America increasingly face workforce shortages.

With this integration, TROESTER can now meet that demand with comprehensive solutions from a single source. Both teams look forward to working together and jointly advancing technologically leading automation solutions.

Thomas Holzer, CEO, TROESTER GmbH & Co. KG, “The company brings start-up spirit, agility and strong innovative capabilities, while TROESTER contributes decades of experience, established commercial structures, a global sales network and longstanding customer relationships. Together, this creates a clear competitive advantage and a USP that sets us apart in the market.”

Dunlop (company name: Sumitomo Rubber Industries, Ltd.) has secured the first commercial deployment of its SENSING CORE technology in China. The system's ‘tyre load detection’ and ‘tyre air pressure detection’ functions have been adopted by Chongqing Ruichi Automotive Industry Co., Ltd. (Ruichi) for its new electric commercial vehicle model, the Ruichi C5. This marks both the technology's entry into the Chinese market and the global debut of Dunlop's tyre load detection capability.

The load detection function monitors changes in cargo weight and distribution in real time, feeding data to the vehicle's control system. This reduces driving instability during starting, stopping and turning caused by shifting loads, thereby lessening driver burden and enabling more stable cargo transport. The feature is scheduled for implementation in additional Ruichi models going forward.

This development responds to conditions in China's urban areas, where e-commerce growth has fuelled demand for short-distance delivery services while autonomous driving and driver assistance features gain traction. In vehicles equipped with advanced systems, control logic typically operates based on predetermined load parameters. When actual loads deviate from these assumptions, discrepancies arise that affect driver comfort and cargo stability. Commercial vehicles therefore increasingly require smooth acceleration and deceleration control that remains effective regardless of load conditions.

Ruichi selected Dunlop's technology as an effective solution to these challenges. The system requires no additional sensors and can be installed without modifying existing vehicle configurations, offering significant cost advantages. SENSING CORE analyses wheel speed data alongside vehicle control information from the CAN data stream to detect various conditions including tyre pressure, tread wear and load.

On the Ruichi C5, the load detection function assesses total weight on left and right tyres for front and rear axles according to changes in cargo volume and position. This data optimises torque output during acceleration and brake control based on current load conditions, delivering stable ride quality unaffected by load changes during frequent urban deliveries.

Dunlop pursues this work under its SMART TYRE CONCEPT development philosophy, which aims to deliver high safety and environmental performance for CASE and MaaS applications. SENSING CORE anchors these services and is planned as the company's fourth major business pillar alongside tyres, sports and industrial products.

The challenges of frequent starts and stops during urban deliveries and changing load conditions extend beyond China throughout Asia, including Japan. Building on this adoption, Dunlop aims to expand its presence in both domestic and international markets.