Modelling Tyre-Road Noise with Data Mining Techniques

• Autorzy: Freitas E. , Tinoco J. , Soares F. , Costa J. , Cortez P. , Pereira P.

Identyfikatory

DOI

10.1515/aoa-2015-0054

• Języki publikacji: EN

Abstrakty

EN

The research aimed to establish tyre-road noise models by using a Data Mining approach that allowed to build a predictive model and assess the importance of the tested input variables. The data modelling took into account three learning algorithms and three metrics to define the best predictive model. The variables tested included basic properties of pavement surfaces, macrotexture, megatexture, and unevenness and, for the first time, damping. Also, the importance of those variables was measured by using a sensitivity analysis procedure. Two types of models were set: one with basic variables and another with complex variables, such as megatexture and damping, all as a function of vehicles speed. More detailed models were additionally set by the speed level. As a result, several models with very good tyre-road noise predictive capacity were achieved. The most relevant variables were Speed, Temperature, Aggregate size, Mean Profile Depth, and Damping, which had the highest importance, even though influenced by speed. Megatexture and IRI had the lowest importance. The applicability of the models developed in this work is relevant for trucks tyre-noise prediction, represented by the AVON V4 test tyre, at the early stage of road pavements use. Therefore, the obtained models are highly useful for the design of pavements and for noise prediction by road authorities and contractors.

Słowa kluczowe

EN

tyre-road noise; data mining; model; texture; damping; surface characteristics

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2015
• Tom: Vol. 40, No. 4
• Strony: 547--560
• Opis fizyczny: Bibliogr. 43 poz., tab., wykr., fot.

Twórcy

autor

Freitas E.

• CTAC, Department of Civil Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal

autor

Tinoco J.

• CTAC, Department of Civil Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal

autor

Soares F.

• CTAC, Department of Civil Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal

autor

Costa J.

• CTAC, Department of Civil Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal

autor

Cortez P.

• ALGORITMI Centre, Department of Information Systems, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal

autor

Pereira P.

• CTAC, Department of Civil Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal

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