Russian Federation
UDC 007.52
this article presents an improved analytical model for calculating the threshold speed for the onset of full hydroplaning of a single wheel on a passenger car. A distinctive feature of this approach is the consistent refinement of the geometric parameters of the water wedge (angle of attack and wetted surface area) and a detailed description of the hydraulic resistance of the tread grooves using the continuous Churchill formula for the friction coefficient, which is valid across the entire spectrum of Reynolds numbers — from laminar to fully developed turbulent flow, including the transition region. This approach eliminates the need for an a priori selection of the design mode and ensures a smooth functional relationship between the critical speed and the initial parameters. Losses at the groove entrance are calculated using a classical hydraulic model — using the dynamic pressure in a narrow cross-section, and the driving pressure difference is assumed to be equal to the full dynamic pressure of the oncoming flow. Based on the proposed model, algorithmic support has been developed for proactively controlling the movement of unmanned vehicles as part of intelligent transport systems. The composition and purpose of the onboard sensor subsystems required to obtain initial data in real time are determined. A numerical example demonstrating the convergence of the iterative procedure is presented, and a comparison with known engineering methods is made.
aquaplaning, hydrodynamic lifting force, critical speed, angle of attack, tread, drainage grooves, hydraulic resistance, Churchill formula, analytical model, unmanned vehicle, intelligent transport system, control algorithm, on-board sensors
1. Opredelenie skorosti vozmozhnogo akvaplanirovaniya / V. A. Kovalev [i dr.] // Vestnik Irkutskogo gosudarstvennogo tehnicheskogo universiteta. 2014. № 5 (88). S. 115–119. EDN SGJFEH
2. Kuverin I. Yu., Guseva I. A., Gusev S. A. Analiticheskaya model' rascheta skorosti nachala akvaplanirovaniya v algoritmah bespilotnogo upravleniya // Avtomatika na transporte. 2025. T. 11, № 1. S. 30–54. DOI:https://doi.org/10.20295/2412-9186-2025-11-01-30-54
3. Fwa T. F., Ong G. P. Wet-Pavement Hydroplaning Risk and Skid Resistance: Analysis // Journal of Transportation Engineering. 2008. Vol. 134, no. 5. Pp. 590–598. DOI:https://doi.org/10.1061/(ASCE)0733-947X(2008)134:5(182)
4. Ong, G. P., Fwa T. F., Guo J. Modeling Hydroplaning and Effects of Pavement Microtexture // Transportation Research Record: Journal of the Transportation Research Board. 2005. No. 1905. Pp. 166–176. DOI:https://doi.org/10.1177/0361198105190500118
5. Vilsan A., Sandu C. Hydroplaning of Tires: A Review of Numerical Modeling and Novel Sensing Methods // Journal of Autonomous Vehicles and Systems. 2023. Vol. 3, no. 3. Art. 031001. DOI:https://doi.org/10.1115/1.4065379
6. Evaluation of Highway Hydroplaning Risk Based on 3D Laser Scanning and Water-Film Thickness Estimation / W. Yang [et al.] // International Journal of Environmental Research and Public Health. 2022. Vol. 19, no. 13. Art. 7699. DOI:https://doi.org/10.3390/ijerph19137699
7. Longitudinal Hydroplaning Performance of Passenger Car Tires / M. Maleska [et al.] // Vehicle System Dynamics. 2021. Vol. 59, no. 3. Pp. 415–432. DOI:https://doi.org/10.1080/00423114.2019.1693047
8. Effectiveness of Tire-Tread Patterns in Reducing the Risk of Hydroplaning / T. F. Fwa [et al.] // Transportation Research Record: Journal of the Transportation Research Board. 2009. No. 2094. Pp. 91–102. DOI:https://doi.org/10.3141/2094-10
9. Benavides H. M. Modification and Improvement of the Churchill Equation for Friction Factor Calculation in Pipes // Water. 2024. Vol. 16, no. 16. Art. 2328. DOI:https://doi.org/10.3390/w16162328
10. Numerical Analysis of Hydroplaning Behaviour by Using a Tire–Water-Film– Runway Model / X. Zhu [et al.] // International Journal of Pavement Engineering. 2022. Vol. 23, no. 3. Pp. 784–800. DOI:https://doi.org/10.1080/10298436.2020.1774587
11. Hydroplaning Analysis by FEM And FVM: Effect of Tire Rolling and Tire Pattern on Hydroplaning / E. Seta [et al.] // Tire Science and Technology. 2000. Vol. 28, no. 3. Pp. 140–156. DOI:https://doi.org/10.2346/1.2135997
12. Chen X., Wang H. Analysis and Mitigation of Hydroplaning Risk Considering Spatial-Temporal Water Condition on the Pavement Surface // International Journal of Pavement Engineering. 2023. Vol. 24, no. 2. DOI:https://doi.org/10.1080/10298436.2022.2036988
13. Tao S., Wang J., Dong R. Model Construction and Numerical Simulation for Hydroplaning of Complex Tread Tires // Complex System Modeling and Simulation. 2022. Vol. 2, no. 4. Pp. 322–333. DOI:https://doi.org/10.23919/CSMS.2022.0020
14. Methodology for Real-Time Hydroplaning Risk Estimation Using an Intelligent Tire System: An Analytical Approach / A. Vilsan [et al.] // Sensors. 2025. Vol. 25, no. 23. Art. 7299. DOI:https://doi.org/10.3390/s25237299
15. Florida Department of Transportation’s Enhanced Hydroplaning Prediction Tool / H. S. Lee [et al.] // Transportation Research Record. 2021. Vol. 2675, no. 10. Pp. 340–352. DOI:https://doi.org/10.1177/03611981211011479



