Traffic noise models and noise guidelines: A review

Ibili, Fidelma; Adanu, Emmanuel Kofi; Adams, Charles A.; Andam-Akorful, Samuel A.; Turay, Simeon S.; Ajayi, S. S.

doi:10.1177/09574565211052693

Cited by 23 publications

(7 citation statements)

References 20 publications

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“…It is generally considered to represent the background or ambient level of a noise environment. 72–74…”

Section: Scenario Formulation and Discussionmentioning

confidence: 99%

“…When considering the assessment of traffic noise, noise measurement is required as the base process to determine the level of noise and its associated underlying factors. 76 From the measurements it was observed that the noise levels were above the permissible limit and as such cause annoyance, which may lead to other health related problems. The country, which is still developing and already faces economic difficulties, may be impacted by this, if not addressed.…”

Section: Discussionmentioning

confidence: 99%

“…It is generally considered to represent the background or ambient level of a noise environment. [72][73][74] time and to determine the disparity range at level 3 sigma (+/À 3 standard deviation from the mean). The upper-class limit and lower-class limit are 89 and 59 dB(A) respectively (Table 4).…”

Section: Scenario 2: Roadside Residentsmentioning

confidence: 99%

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The state-of-the-art of practice of traffic noise regulations in Ghana

Ibili

Adams

Adebanji

et al. 2023

Noise & Vibration Worldwide

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Noise pollution is one of Ghana’s environmental risks and it has become the norm in metropolitan areas to the point where residents in these locations experience noise nuisance and may be at risk of hearing loss. Most developed and developing countries have established traffic noise standards as a control mechanism to reduce traffic noise exposure emissions. This study aims to investigate current practices of traffic noise regulations and policy. Various agencies responsible for the control of noise pollution and the urban road sector were interviewed about traffic noise standards and practices, and it was observed that these agencies’ noise practices were based on Environmental Protection Agency (EPA) established guidelines, which did not include transportation noise regulation. Except for a Driver and Vehicle Licensing Authority (DVLA), regulation that allows a certain vehicle horning system for specific vehicle users, this study discovered that this policy is not fully implemented. A preliminary survey was conducted to collect traffic field data and inhabitants’ perceptions of traffic noise. Of the 30 respondents, 26 respondents (86.7%) affirmed that they experience traffic noise pollution at various locations, while 23 respondents (76.7%) reported various health effects due to exposure to traffic noise. This can be related to the observed noise levels which exceeded the dissatisfaction score of 5 (89 dB(A)), and also Leq value (109.1 dB(A)) was greater than the environmental permissible limit of the EPA standard of 70 dB(A). This indicates that roadside residents suffer from noise annoyance. It is recommended that transport, and environmental-related agencies work unanimously to ensure that effective control of traffic noise pollution is developed, enforced, and implemented.

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“…It is generally considered to represent the background or ambient level of a noise environment. 72–74…”

Section: Scenario Formulation and Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

The state-of-the-art of practice of traffic noise regulations in Ghana

Ibili

Adams

Adebanji

et al. 2023

Noise & Vibration Worldwide

Self Cite

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“…This model [4] was developed at the National Physics Laboratory in Sydney. During the measurement, the traffic was free, on a flat road, without traffic signals.…”

Section: Burgess Modelmentioning

confidence: 99%

Measurement of motor vehicle speed as an input parameter in models for predicting noise levels

Đorđević¹,

Radičević²,

Bjelić³

et al. 2022

Engineering Today

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Motor vehicle speed is one of the inputs used to develop models for predicting road traffic noise levels. In existing models, the vehicle speed used as input to estimate the noise level is not the current (measured) speed, but the vehicle speed determined based on the speed limit by road type or vehicle type. Therefore, the development of a device for measuring vehicle speed using radar that works on the principle of Doppler effect, which is presented in the paper. The advantage of this measuring device is the low price compared to similar devices, easy use and the possibility of easy processing of data obtained by measurement. The device allows measuring speed in all weather conditions in terms of temperature, precipitation and time of day. Then, in real time, it displays the speed and direction of movement of the vehicle on the screen of the mobile phone, and in the stationary laboratory, remote control, adjustment and adjustment of the software for measuring speed is enabled.

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“…In the context of this research, on-road noise (sound level) measurement for cyclists can serve several types of investigation. Noise exposure itself is an environmental hazard commonly targeted for mitigation in highway design ( 1 – 4 ), although adverse health effects from noise exposure during cycling specifically have not been established. Traffic noise is also a source of annoyance and discomfort, and noise exposure has been investigated with an interest in the effects on travel behavior ( 5 – 7 ).…”

mentioning

confidence: 99%

Instrumentation to Measure On-Road Cyclist Noise Exposure: Considerations for Study Design with Smartphones and Sound Level Meters

Albitar

Bigazzi

2023

Transportation Research Record: Journal of the Transportation R

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Cyclist noise exposure has implications for health, comfort, and safety. Methods used for in situ measurement of on-road noise levels for cyclists vary, and the effects of key study design factors have not been investigated. To enable reliable research into cyclist noise exposure, this study aims to determine the accuracy of smartphone noise measurements in comparison with a sound level meter (SLM) reference instrument, and how noise levels are affected by travel speed, air speed, sensor placement, and use of a windscreen. Field data were collected with paired instruments in a typical urban cycling scenario, and comparisons made varying one design factor at a time (smartphone versus SLM, with versus without windscreen, handlebar versus shoulder placement, etc.). Results show that smartphones can generate reliable measurements (compared with SLM) of high-resolution (1-s) cyclist exposure for C-weighted noise, but not A-weighted noise. Sensor placement and windscreen have small effects on noise readings, but air speed and travel speed greatly affect measured noise levels. Future studies measuring on-road noise must consider the effects of wind- and bicycle-generated noise to ensure internal validity. Studies should also consider both study objectives and instrumentation when selecting a noise measure (frequency weighting). Research is needed into bicycle noise generation and perception of traffic noise by cyclists to enhance the reliability of future studies.

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Traffic noise models and noise guidelines: A review

Cited by 23 publications

References 20 publications

The state-of-the-art of practice of traffic noise regulations in Ghana

The state-of-the-art of practice of traffic noise regulations in Ghana

Measurement of motor vehicle speed as an input parameter in models for predicting noise levels

Instrumentation to Measure On-Road Cyclist Noise Exposure: Considerations for Study Design with Smartphones and Sound Level Meters

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