Statistical modelling of tyre/road noise for urban driving conditions

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Statistical modelling of tyre/road noise for urban driving conditions


Author: Mak, Kai Long
Title: Statistical modelling of tyre/road noise for urban driving conditions
Degree: Ph.D.
Year: 2015
Subject: Tires -- Noise.
Traffic noise.
Hong Kong Polytechnic University -- Dissertations
Department: Dept. of Civil and Environmental Engineering
Pages: xv, 338 leaves : illustrations (some color) ; 30 cm
Language: English
InnoPac Record:
Abstract: Tyre/road noise has been a dominating factor leading to vehicular traffic noise in the local environment. The main purpose of this research is to construct a simple but succinct model to estimate tyre/road noise. For the first time, a total number of 5744 tyre/road noise measurements were collected, from 870 trials along 28 selected road sections on five surface material pavements between 2009 and 2012, to develop a four-stage statistical tyre/road noise model for urban driving conditions. With standard statistical analyses, six parameters were found to be principle factors of tyre/road noise and were subsequently adopted in the model for predicting tyre/road noise. These parameters include vehicle speed, acceleration, ambient temperature, road temperature, road surface age and road gradient.As the majority of studies on tyre/road noise were conducted at a constant speed, the effect of acceleration/deceleration on tyre/road noise has rarely been studied. However, acceleration and deceleration are unavoidable in realistic urban driving settings. A statistical cluster analysis was performed on the instantaneous vehicle speed, acceleration and tyre/road noise data collected in this study. A speedacceleration tyre/road noise matrix was successfully developed. The matrix helps to quantify the relationship between vehicle speed, acceleration and the tyre/road noise.Furthermore, the interaction effect between vehicle speed and acceleration on tyre/road noise can also be quantified with this matrix.The statistical stepwise regression analysis was conducted with tyre/road noise as a dependent variable. It was found that vehicle speed and absolute acceleration are the most significant factors at sound frequencies below 1000 Hz. For frequencies between 1250 Hz and 2000 Hz, the road gradient and surface age become more significant. Interaction effects between vehicle speed and absolute acceleration are found to be important for noise levels at frequencies below 1250 Hz.This statistical model was further compared to a traditional logarithm speed model in estimating the instantaneous tyre/road noise level. The results show that the new model has a more accurate prediction ability than the traditional logarithm speed model, especially for lower frequencies (i.e., below 1000 Hz).For sound frequencies below 1250 Hz, vehicle speed was found to be one of the major contributing factors for tyre/road noise, representing around 20% of the variation in tyre/road noise. Meanwhile, the effect of interaction between vehicle speeds and absolute accelerations was found to contribute around 1015% of the noise level at this frequency range. With the inclusion of the absolute acceleration factor and the interaction effect between vehicle speeds and absolute accelerations in the model, a more accurate statistical prediction model was successfully developed.

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