A comprehensive review of tire-pavement noise: Generation mechanism, measurement methods, and quiet asphalt pavement

Ling, Senlin; Yu, Fan; Sun, Daquan; Sun, Guoqiang; Xu, Lei

doi:10.1016/j.jclepro.2020.125056

Cited by 54 publications

(15 citation statements)

References 85 publications

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“…In Europe, there are test results showing that vehicle noise can even be reduced by up to 10 dB(A) with porous pavement structures. European test results show that vehicle noise can even be reduced by up to 10 dB(A) with macroporous pavement structure [ 36 ].…”

Section: Resultsmentioning

confidence: 99%

Noise Reduction Characteristics of Macroporous Asphalt Pavement Based on A Weighted Sound Pressure Level Sensor

2021

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Based on the manual of macroporous noise-reducing asphalt pavement design, the indoor main drive pavement function accelerated loading test system was applied to investigate the impact of speed, loading conditions (dry and wet) and structural depth on the noise reduction of macroporous Open Graded Friction Course (OGFC) pavement, as well as its long-term noise reduction. Combined with the noise spectrum of the weighted sound pressure level, the main components and sensitive frequency bands of pavement noise under different factors were analyzed and compared. According to experimental results, the noise reduction effect of different asphalt pavements from strong to weak is as follows: OGFC-13 > SMA-13 > AC-13 > MS-III. The noise reduction effect of OGFC concentrates on the frequency of 1–4 kHz when high porosity effectively reduces the air pump effect. As the effect of wheels increases and the depth of the road structure decreases, the noise reduction effect of OGFC decreases. It indicates the noise reduction performance attenuates at a later stage, similar to the noise level of densely graded roads.

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Section: Resultsmentioning

confidence: 99%

Noise Reduction Characteristics of Macroporous Asphalt Pavement Based on A Weighted Sound Pressure Level Sensor

2021

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“…The device was used to measure the average traffic noise by a method known as the Statistical Pass-By (SPB) method. This method, which is used for the measurement of outdoor traffic noise, including the noise resulting from the tyre-pavement interaction, mechanical noise as well as aerodynamic noise [5]. To obtain accurate measurements using the SPB method, the roadway must be relatively level and free of acoustically reflective surfaces within a distance of 30 m. At each location, the measurements were extended for 15 times for duration of 20 min.…”

Section: Data Collection and Analysismentioning

confidence: 99%

“…Fig. 1: a) Noise sources and their interactions with vehicle speed, b) speed-noise relationship [5].…”

Section: Introductionmentioning

confidence: 99%

Modelling of Traffic Noise Along Urban Corridor: A Case Study of Amman

Younes

Suleiman²,

Abushammala

et al. 2021

Civil and Environmental Engineering

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Noise became one of the main environmental indicators of the quality of urban life. The aim of this study was to develop a traffic noise model for an arterial road in Amman, the capital of Jordan, which was being subjected to a persistent increase in traffic and its related issues. The characteristics of the traffic and its relevant noise were analysed to develop a noise prediction model using an adaptive neuro-fuzzy inference system (ANFIS). A geographic information system (GIS) was then implemented to model the current noise along the arterial road. The results of ANFIS model showed that traffic delays and the percentage of heavy vehicles were the main causes of traffic noise generation within the urban area. However, the developed ANFIS model can simulate traffic noise with a relatively low root mean square error. Furthermore, this study will help to improve the perception about traffic noise and its development along arterial roads.

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“…The sources of tire-road noise are mainly divided into three categories: 1) the noise generated by the equipment components during operation of the vehicle; 2) the aerodynamic noise generated by the interaction between the car body and the surrounding air; and 3) the tire-road noise generated by the interaction between the tire and the road surface, which has become the main source of noise for high-speed vehicles (Ling et al, 2021).…”

Section: The Tire-road Noise Mechanism Of Micro-surfacementioning

confidence: 99%

Evaluating the Tire/Pavement Noise and Surface Texture of Low-Noise Micro-Surface Using 3D Digital Image Technology

Chen

Zheng

Wang³

2021

Front. Mater.

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As a common preventive maintenance technique for asphalt pavement, micro-surface (MS) has the advantages of waterproofing and crack sealing. However, issues such as the fact that the conventional MS generates large noise and the evaluation of the indexes of tire-road noise are relatively less studied. The traditional surface texture index cannot reveal the range and distribution of pavement surface texture, thus hindering research of low-noise MS. To study the mechanism of tire-road noise generated by MS, and propose the tire-road noise and surface texture indicators for MS. In this study, the mechanism of five low-noise MS was systematically analyzed and compared through surface texture and noise tests. Then, a three-dimensional digital texture model (3D-DTM) of MS surface texture was constructed using a series of digital image processing techniques, including grayscale identification, binary conversion, and noise reduction. The results show that optimizing the gradation, adding sound-absorbing materials, and improving the workability of construction can improve the noise reduction performance of MS, it is worth mentioning that the MS prepared with sound-absorbing materials and low-noise gradation has the greatest noise reduction effect, with a maximum reduction of 6.3 dB(A). In addition, it was also found that the 3D-DTM can well reflect the surface texture characteristics of MS. The probability of convex peak distribution (PCD) and the proportion of convex peak area (PCA) with peak heights greater than 0.25 mm (Kh ≥ 0.25), which are extracted from the 3D-DTM, can well reflect the surface texture, tire-road noise, respectively. The results show that the 3D-DTM is a promising tool to optimize the design of low-noise MS.

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A comprehensive review of tire-pavement noise: Generation mechanism, measurement methods, and quiet asphalt pavement

Cited by 54 publications

References 85 publications

Noise Reduction Characteristics of Macroporous Asphalt Pavement Based on A Weighted Sound Pressure Level Sensor

Noise Reduction Characteristics of Macroporous Asphalt Pavement Based on A Weighted Sound Pressure Level Sensor

Modelling of Traffic Noise Along Urban Corridor: A Case Study of Amman

Evaluating the Tire/Pavement Noise and Surface Texture of Low-Noise Micro-Surface Using 3D Digital Image Technology

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