Modeling of Urban Area Stop-and-Go Traffic Noise

Pamanikabud, Pichai; Tharasawatpipat, Chaisri

doi:10.1061/(asce)0733-947x(1999)125:2(152)

Cited by 18 publications

(4 citation statements)

References 1 publication

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“…They also looked at sound reflected off of barriers put on both sides of the roadway and suggested that sound barriers be used on city roads. Models for assessing traffic noise levels are affected by the volume of heavy vehicles, air temperature, and wind speed (Geraghty & O'Mahony, 2016); (Pamanikabud & Tharasawatpipat, 1999). (Geraghty & O'Mahony, 2016) used a multinomial logistic regression model to analyse traffic noise levels at changed sites for different times of day and months.…”

Section: Effect Of Pcimentioning

confidence: 99%

“…(Geraghty & O'Mahony, 2016) used a multinomial logistic regression model to analyse traffic noise levels at changed sites for different times of day and months. They also claimed that the function of a segment has an impact on the noise level (Pamanikabud & Tharasawatpipat, 1999). Using linear regression statistical techniques, (Alves Filho, et al, 2004) studied the amount of traffic noise.…”

Section: Effect Of Pcimentioning

confidence: 99%

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Impact Of Traffic Characteristics and Pavement Surface Condition on Noise Level for Rigid Pavement

Kamil

Al-Jameel

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The proper design of a road’s surface layer can result in pavements that are not only better in terms of ride comfort and safety, but also in terms of noise reduction. The use of low-noise pavements may be an effective measure to reduce the acoustic pollution generated by road traffic This study aims to consider the effect of changed pavement features on the noise level. Tire/pavement noise is a major contributor to traffic noise at highway speeds. The effects of pavement properties, including air-void content, gradation properties, roughness, texture, pavement surface condition are major contributors to traffic noise at highway speeds. As the overall texture and IRI, increase noise levels. The results showed that greater air void content decreases the level of high-frequency noise.

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Section: Effect Of Pcimentioning

confidence: 99%

Section: Effect Of Pcimentioning

confidence: 99%

Impact Of Traffic Characteristics and Pavement Surface Condition on Noise Level for Rigid Pavement

Kamil

Al-Jameel

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Patients and medical staff are adversely affected psychologically, biologically and physiologically due to existing environmental noise levels. This situation affects the quality of the health care services [2], [3], [4]. For this reason, it is necessary to identify sources of environmental noise emissions in which hospitals are exposed and it is also required to prepare environmental noise distribution maps in that sensitive areas [5], [6], [7].…”

Section: Inroductionmentioning

confidence: 99%

Determination of environmental noise levels at central Balikesir hospitals

Mutlu¹

2018

Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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In this study, our goal was to determine of noise sources and emission levels from very sensitive environments, such as hospitals, at downtown of Balikesir. It was also aimed to create noise pollution maps as the first time for those full-scale hospitals in Balikesir by carrying out of this study. According to the study results, it was determined that the noise level in Balikesir State Hospital (BSH), where is located closer to the city center, was higher than the noise levels in Atatürk State Hospital (ASH). In conclusion, the predicted noise values at BSH were higher about 9% (or approximately 7dBa) than the actual measured values. The modeling process was not performed at ASH, due to noise levels of ASH did not exceed the legal limits.

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“…• Mohammed -a noise prediction model for interrupted traffic enabling the introduction of constant values of acceleration and deceleration of traffic in a simple intersection with traffic lights [4]. • Pamanikabud -two models of noise prediction: for intersection exits (acceleration) and intersection entries (deceleration or stopping traffic); prediction error ± 1.5 dB and ±0.5 dB respectively [5]. • Bohatkiewicz -two models which, apart from the basic traffic parameters, take into account the average delays (time loss by vehicles crossing the intersection) and the volume to capacity ratio at entries; prediction error: ±1.5 dB [6,7].…”

Section: Introductionmentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Motylewicz,

Gardziejczyk

2020

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The existing traffic noise prediction models in road intersections relate mainly to the typical solutions of intersection geometry and traffic organisation. There are no models for large and more complex intersections such as signalised roundabouts. This paper presents the results of studies on the development of a traffic noise prediction model for this type of intersection. The model was developed using a multiple regression method based on the results of field measurements of traffic parameters and noise levels in the vicinity of signalised roundabouts in Poland. The obtained model consists of two groups of variables affecting noise levels at the intersection. The first group determines in detail the inf luence of traffic and geometry of the closest entry. The second group shows the inf luence of more distant noise sources (traffic at the three remaining entries of the intersection) and the inf luence of the dimensions of the entire intersection. The developed model was verified through additional field measurements, as well as compared to the results of two methods of traffic noise prediction: the French 'NMPB-Routes-2008' and the German 'RLS-90'. The obtained results confirmed a higher accuracy of calculations performed using the developed model in the range of: −1.2 dB ÷ +1.0 dB, while the 'NMPB-Routes-2008' and 'RLS-90' calculate precision were respectively: −2.8 dB ÷ +1.3 dB, and + 0.8 dB ÷ +5.2 dB. Therefore, the developed model allows for a more accurate prediction of noise levels in the vicinity of signalised roundabouts in a f lat terrain without buildings and noise barriers.

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Modeling of Urban Area Stop-and-Go Traffic Noise

Cited by 18 publications

References 1 publication

Impact Of Traffic Characteristics and Pavement Surface Condition on Noise Level for Rigid Pavement

Impact Of Traffic Characteristics and Pavement Surface Condition on Noise Level for Rigid Pavement

Determination of environmental noise levels at central Balikesir hospitals

Bulletin of the Polish Academy of Sciences: Technical Sciences

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