Hydroplaning speed and infrastructure characteristics

This article exposes some results of a study, which aims at modelling the hydroplaning phenomenon taking into account the infrastructural characteristics, the water-depth on the road, the load transfer between the rear and the front wheels, and the skid resistance before total hydroplaning. First, a short bibliographical study determined the most relevant parameters that should be included in a global hydroplaning model such as the tyres’ characteristics (pressure, contact area, and tread depth), the load, the water-depth, the road profile, and macrotexture. Among them, the water-depth is the most difficult to evaluate, because it deeply depends on the pavement irregularities (roughness and texture), the road geometry, and the weather (rainfall intensity). Thus, a model calculating the water-film thickness by using road characteristics measurements is proposed. This initial water-depth is included in a linear model with 2 degrees of freedom, which describes the longitudinal dynamics phenomenon. The load transfer between the front and the rear axles is calculated in a straight line. Moreover, the water-depth in front of the rear tyre is calculated by considering the water displacement generated by the front tyres. Then, the increase of the water thickness just in front of the tyre due to the flow in the tyre treads and the pavement macrotexture is modelled. Finally, this model provides a hydroplaning speed, which is used for warning the drivers.

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Additional Info

Field Value
Source ISSN: 1350-6501
Author Cerezo, Véronique, Gothie, Michel, Menissier, Michaël, Gibrat, Thierry
Maintainer CCSD
Last Updated May 10, 2026, 02:50 (UTC)
Created May 10, 2026, 02:50 (UTC)
Identifier hal-00851445
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Centre d'études techniques de l'équipement de Lyon (CETE de Lyon) ; Avant création Cerema
creator Cerezo, Véronique
date 2010-01-01T00:00:00
harvest_object_id d425fbee-ffaf-4508-9817-56811b2f9431
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-12-18T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.1243/13506501JET738
set_spec type:ART