Comparison of roadwheel and roadway noise generated by a mono-pitch tire tread

Tire-pavement interaction noise (TPIN, aka tire-road noise or tyre-road noise) is most efficiently measured in acoustically controlled laboratories with large diameter roadwheels (drums) that have surface treatments which replicate some pavement properties, especially when comparing the acoustic performance of different tires. However, it is not clear how closely the roadwheel replicates the road surface, including differences that include road curvature and mechanical impedance of pavements. On the other hand, measuring on a moving vehicle with a microphone array presents it own set of challenges. In this study, a Nearfield Acoustical Holography (NAH) method is used to measure tire/pavement interaction noise on roadways and roadwheels with similar smooth pavement and rough pavement properties. Sound intensity fields, overall sound power levels, and sound pressure levels are reconstructed very close to the tire surface. An experimental passenger car tire with a mono-pitch tread is used in this study. The experimental tire has three circumferential grooves and 64 equally spaced transverse grooves cut into the tread. Differences in sound fields and levels between roadway and roadwheel test conditions for this tire are shown.

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Acoustic Detector of Road Vehicles Based on Sound Intensity

Sensors ◽

10.3390/s21237781 ◽

2021 ◽

Vol 21 (23) ◽

pp. 7781

Author(s):

Grzegorz Szwoch ◽

Józef Kotus

Keyword(s):

Low Cost ◽

Sound Intensity ◽

Traffic Monitoring ◽

Detection Accuracy ◽

Road Vehicles ◽

Moving Vehicle ◽

The Road ◽

Acoustic Detector ◽

Direction Of Movement ◽

Made In

A method of detecting and counting road vehicles using an acoustic sensor placed by the road is presented. The sensor measures sound intensity in two directions: parallel and perpendicular to the road. The sound intensity analysis performs acoustic event detection. A normalized position of the sound source is tracked and used to determine if the detected event is related to a moving vehicle and to establish the direction of movement. The algorithm was tested on a continuous 24-h recording made in real-world conditions. The overall results were: recall 0.95, precision 0.95, F-score 0.95. In the analysis of one-hour slots, the worst results obtained in dense traffic were: recall 0.9, precision 0.93, F-score 0.91. The proposed method is intended for application in a network of traffic monitoring sensors, such as a smart city system. Its advantages include using a small, low cost and passive sensor, low algorithm complexity, and satisfactory detection accuracy.

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Regularised reconstruction of sound fields with a spherical microphone array

10.1121/1.4800860 ◽

2013 ◽

Cited By ~ 6

Author(s):

Alba Granados ◽

Finn Jacobsen ◽

Efren Fernandez-Grande

Keyword(s):

Microphone Array ◽

Sound Fields

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The Study of Tire Pattern Noise by Using Wavelet Transform

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.105-107.267 ◽

2011 ◽

Vol 105-107 ◽

pp. 267-270 ◽

Cited By ~ 1

Author(s):

Sung Wook Hwang ◽

Jin Hyuk Han ◽

Ki Duck Sung ◽

Sang Kwon Lee

Keyword(s):

Fourier Transform ◽

Wavelet Transform ◽

The Other ◽

Road Noise ◽

Signal Process ◽

The Road ◽

Pattern Noise ◽

On The Road ◽

Non Stationary Signal ◽

The Relationship

Tire noise is classified by pattern noise and road noise in a vehicle. Especially pattern noise has impulsive characteristics since it is generated by impacting of tire’s block on the road. Therefore, a special signal process is needed other than traditional Fourier Transform, because the characteristic of signal is varying with time. On the other hand, the pattern noise is a kind of non-stationary signal and is related to the impulsive train of pitch sequence of a block. In this paper, Wavelet Transform is applied to verify the impulse signal caused by impact of block and groove and to verify the relationship between the pattern noise and the train of pitch sequence.

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A study on Private Car Accidents

International Journal of Novel Trends in Pharmaceutical Sciences ◽

10.26452/ijntps.v11i1.1409 ◽

2021 ◽

Vol 11 (1) ◽

pp. 10-24

Author(s):

Abdulmajeed Alamri ◽

Tarek M. Esmael ◽

Sami Fawzy ◽

Hany Hosny ◽

Saleh Attawi ◽

...

Keyword(s):

Road Traffic Accident ◽

Traffic Accident ◽

Traffic Accidents ◽

Road Traffic ◽

Road Traffic Injury ◽

Economic Losses ◽

Moving Vehicle ◽

The Road ◽

Lost Productivity ◽

On The Road

In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.

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