Aquaplaning: How Easyrain DAI and AIS Prevent aquaplaning

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Aquaplaning and Vehicle Safety: How Easyrain’s DAI and AIS Systems Address the Physics of Grip Loss

Easyrain Active Safety System tested on a flooded track.

When a vehicle’s tires lose contact with the road surface due to a water film, neither the driver nor any existing safety system can restore control instantaneously. Aquaplaning – the physical decoupling of tire from asphalt – remains one of the least-tracked yet most consequential phenomena in road safety. Two emerging automotive technologies developed by Easyrain, a Turin-based tech company specializing in ADAS and autonomous driving safety systems, are designed specifically to detect and actively counteract this event.

The Physics of Aquaplaning

Aquaplaning, also referred to as hydroplaning, occurs when the water pressure generated ahead of a moving tire exceeds the tire’s capacity to displace that water through its tread channels. The result is a thin, continuous film of water that physically lifts the tire off the asphalt, severing contact between rubber and road. Once full aquaplaning is established, steering, braking, and acceleration inputs have no effect on vehicle trajectory.

The onset of aquaplaning is governed by a set of interdependent physical variables: water film thickness on the road surface, vehicle speed relative to the critical hydroplaning threshold, tire inflation pressure, and tread depth. The interaction between these parameters is non-linear – a worn tire at highway speed on a flooded road surface can reach full aquaplaning far more rapidly than commonly assumed.

The water pressure ahead of a moving tire exceeds the tread’s displacement capacity, lifting the tire off the asphalt and severing all traction.

Statistical Impact: What the Data Shows

Quantifying aquaplaning as a discrete accident cause presents a persistent methodological challenge. The U.S. National Highway Traffic Safety Administration (NHTSA) does not isolate aquaplaning or hydroplaning as a standalone crash category. Instead, the phenomenon is absorbed into broader classifications such as “wet pavement” or “adverse weather conditions.”

Within that broader frame, the scale of the problem is measurable. According to NHTSA CrashStats data, approximately 21% of all annual motor vehicle crashes in the United States are attributable to hazardous weather conditions. Of those, roughly 70% occur on wet pavement, and approximately 46% take place during active rainfall. In absolute terms, NHTSA recorded 40,901 traffic fatalities in 2023 and an estimated 39,254 in 2024 – a 3.8% decline – with preliminary 2025 projections indicating a further reduction to approximately 36,640.

In Europe, the European Road Safety Observatory (ERSO) tracks accident data through the CARE database but similarly does not publish aquaplaning-specific statistics at the continental level. The most granular available estimate comes from the German In-Depth Accident Study (GIDAS), which found that among accidents occurring on wet roads, only approximately 0.6% (confidence interval: 0.35%–0.84%) can be attributed to complete aquaplaning as the primary causal mechanism.

This distinction matters: the conditions that precede complete aquaplaning – reduced grip, partial hydroplaning, low tire-road friction – are far more frequent than the complete event and equally dangerous.

How Easyrain DAI Detects the Threat

The Easyrain DAI Virtual Sensor Platform is a software-based detection system that identifies low-grip conditions and aquaplaning events without requiring any additional physical sensors – no cameras, radar, LiDAR, or acoustic hardware.

DAI operates as an “effect-based” virtual sensor. It accesses vehicle telemetry already present on the Controller Area Network (CAN) bus – including ABS and ESC signals, wheel speed differentials, steering angle, yaw rate, and inertial measurement unit (IMU) data – and processes these signals through proprietary model-based estimators combined with hybrid AI-physics algorithms. The system evaluates deviations from expected rolling dynamics in real time, identifying the signature of low tire-road friction in milliseconds.

Beyond aquaplaning detection, DAI also identifies snow and ice conditions before slip occurs, detects irregular terrain including potholes, estimates tire tread wear with an accuracy of up to 0.5 mm, monitors wheel misalignment, and detects loose wheel patterns. The platform is hardware-agnostic and requires no internet connectivity or cloud dependency to function.

How Easyrain AIS Actively Prevents Grip Loss

Where DAI serves as the detection layer, the Easyrain AIS (Active Safety System) is the physical intervention layer. AIS is the world’s first active system designed to restore tire grip by directly acting on the water film beneath the tires – operating upstream of ABS and ESC, which become ineffective once aquaplaning is fully established.

The system’s hardware module – consisting of a pump and precision injectors – draws fluid from the vehicle’s standard windshield washer reservoir and sprays a controlled, high-pressure jet onto the road surface directly ahead of the front tires. This jet breaks the water film mechanically, clearing a contact path and allowing the tire tread to re-engage with the asphalt. The intervention is triggered autonomously by the DAI platform.

Easyrain’s measured performance data indicates that AIS activates in under 80 milliseconds. In testing conditions, the system reduces braking distance on heavily wet surfaces by approximately 20% and increases lateral traction by up to 225% during aquaplaning events. The system is modular and compatible with traditional internal combustion, hybrid, and fully electric vehicle platforms, with the lightest configuration weighing 2.7 kg.

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AIS OFF vs. AIS ON: side-by-side comparison of vehicle behaviour on a flooded test track, demonstrating the braking distance and lateral control gains achieved by the Easyrain Active Safety System.

Future Outlook on Automotive Safety

The integration of active grip-restoration systems into mainstream vehicle architectures addresses a structural gap in current ADAS and autonomous driving frameworks. Cameras, radar, and LiDAR – the primary sensor modalities in modern driver assistance systems – are perception systems: they process the visual environment but cannot detect the physical state of the tire-road contact patch. Wet and icy road surfaces remain, by design, outside their operational envelope.

As Euro NCAP and regulatory bodies move toward testing protocols that evaluate ADAS performance in real-world weather conditions, the relevance of systems capable of detecting and responding to grip loss in milliseconds will increase. Easyrain is also developing a cloud infrastructure layer – the ERC (Cloud Infrastructure) – that aggregates road condition data across connected vehicles to generate real-time hazard maps for fleets, municipalities, and autonomous systems.

The industrialization timeline for AIS places commercial deployment in the 2025-2027 window, with an announced partnership with Marelli for integration into series production vehicles.

Frequently Asked Questions

Q: What is the difference between partial and full aquaplaning?

A: Partial aquaplaning occurs when a portion of the tire’s contact patch loses adhesion with the road due to a thin water film, reducing grip and steering response but not eliminating them entirely. Full aquaplaning is a complete loss of tire-road contact: the tire rides on a continuous water film, rendering steering, braking, and acceleration inputs ineffective. Full aquaplaning requires a specific combination of vehicle speed, water film thickness, tire pressure, and tread depth to occur. The conditions preceding full aquaplaning – reduced traction and partial grip loss – are significantly more frequent and are the primary target of detection systems such as Easyrain’s DAI Virtual Sensor Platform.

Q: How does Easyrain DAI detect aquaplaning without adding sensors to the vehicle?

A: Easyrain’s DAI Virtual Sensor Platform is a software-only system that reads data already present on the vehicle’s Controller Area Network (CAN) bus – including ABS signals, ESC signals, wheel speed differentials, steering angle, yaw rate, and IMU data. Using proprietary model-based estimators and hybrid AI-physics algorithms, DAI analyzes deviations from expected tire rolling dynamics to identify low-friction conditions and aquaplaning events in real time. It requires no cameras, radar, acoustic sensors, cloud connectivity, or internet access to operate.

Q: What are the measured performance results of the Easyrain AIS Active Safety System?

A: According to Easyrain’s published performance data, the AIS (Active Safety System) activates in under 80 milliseconds after aquaplaning is detected by the DAI platform. In controlled testing on heavily wet surfaces, AIS reduces braking distance by approximately 20% and increases lateral traction by up to 225% during aquaplaning events. The system achieves these results by spraying pressurized fluid ahead of the front tires to physically break the water film, restoring tire-road contact before the vehicle loses directional control. The lightest system configuration weighs 2.7 kg and is compatible with ICE, hybrid, and electric vehicle architectures.

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