“…The relationship between traffic flow and vehicle speed is established based on the Van Aerde macroscopic traffic flow model, which reduces the input parameters in the prediction model by replacing the speed variable with the flow variable, shown in equation (5), the accuracy and applicability of the model have been proved. 20,22 where Leqi is the equivalent sound level of the i -th road line source at the noise receiving point, f(Ni) is the relationship between traffic flow and speed established by Van Aerde macro traffic flow model, Loi is the average radiated noise level at the reference point of traffic flow; r0 is the distance from the reference point to the lane; r is the distance from the calculation point to the lane; φ is the angle between the road segment and the line segment consisting of the noise receiver and the road segment’s endpoints (see Figure 1), α is the absorption factor related to the ground factor, in this paper, α = 0.5.Figure 1.Receiving point noise calculation.…”
Section: Methodsmentioning
confidence: 99%
“…The relationship between traffic flow and vehicle speed is established based on the Van Aerde macroscopic traffic flow model, which reduces the input parameters in the prediction model by replacing the speed variable with the flow variable, shown in equation ( 5), the accuracy and applicability of the model have been proved. 20,22…”
Section: Traffic Noise Simulation Of Networkmentioning
confidence: 99%
“…By studied urban morphology and traffic noise in Braga, Silva 17 indicated that the layout of urban buildings and streets has a significant impact on urban noise, which means that appropriate planning measures can reduce the impact of traffic noise. In addition, scholars have analyzed the influence of urban network structure on traffic noise from traffic noise maps, 18,19 urban network data 20,21 and urban points of interest 22 and crowd distribution characteristics 23,24 to provide an effective reference for urban network planning considering the acoustic environment. Moreover, the urban landscape and building layout have an important influence on noise propagation attenuation.…”
The purpose of this paper is to study the impact of road structure on traffic noise from an urban network planning perspective, to provide solutions to control and prevent traffic noise at source. The process is divided into three parts. Firstly, the stochastic user equilibrium model for traffic flow allocation is improved to be more accurate. Secondly, a global traffic noise simulation method is proposed for the network based on the noise prediction model, and the noise data is visualized. Finally, a noise evaluation system is established to study the traffic noise evolution patterns under different road structures. The results show that with the increase of network density, the traffic noise value of the network decreases. The layout of one-way roads will reduce the regional traffic noise value. The impact of road grade adjustments on traffic noise is positively correlated with the rate of change in road capacity. The study can provide an effective basis for control traffic noise from the network planning stage.
“…The relationship between traffic flow and vehicle speed is established based on the Van Aerde macroscopic traffic flow model, which reduces the input parameters in the prediction model by replacing the speed variable with the flow variable, shown in equation (5), the accuracy and applicability of the model have been proved. 20,22 where Leqi is the equivalent sound level of the i -th road line source at the noise receiving point, f(Ni) is the relationship between traffic flow and speed established by Van Aerde macro traffic flow model, Loi is the average radiated noise level at the reference point of traffic flow; r0 is the distance from the reference point to the lane; r is the distance from the calculation point to the lane; φ is the angle between the road segment and the line segment consisting of the noise receiver and the road segment’s endpoints (see Figure 1), α is the absorption factor related to the ground factor, in this paper, α = 0.5.Figure 1.Receiving point noise calculation.…”
Section: Methodsmentioning
confidence: 99%
“…The relationship between traffic flow and vehicle speed is established based on the Van Aerde macroscopic traffic flow model, which reduces the input parameters in the prediction model by replacing the speed variable with the flow variable, shown in equation ( 5), the accuracy and applicability of the model have been proved. 20,22…”
Section: Traffic Noise Simulation Of Networkmentioning
confidence: 99%
“…By studied urban morphology and traffic noise in Braga, Silva 17 indicated that the layout of urban buildings and streets has a significant impact on urban noise, which means that appropriate planning measures can reduce the impact of traffic noise. In addition, scholars have analyzed the influence of urban network structure on traffic noise from traffic noise maps, 18,19 urban network data 20,21 and urban points of interest 22 and crowd distribution characteristics 23,24 to provide an effective reference for urban network planning considering the acoustic environment. Moreover, the urban landscape and building layout have an important influence on noise propagation attenuation.…”
The purpose of this paper is to study the impact of road structure on traffic noise from an urban network planning perspective, to provide solutions to control and prevent traffic noise at source. The process is divided into three parts. Firstly, the stochastic user equilibrium model for traffic flow allocation is improved to be more accurate. Secondly, a global traffic noise simulation method is proposed for the network based on the noise prediction model, and the noise data is visualized. Finally, a noise evaluation system is established to study the traffic noise evolution patterns under different road structures. The results show that with the increase of network density, the traffic noise value of the network decreases. The layout of one-way roads will reduce the regional traffic noise value. The impact of road grade adjustments on traffic noise is positively correlated with the rate of change in road capacity. The study can provide an effective basis for control traffic noise from the network planning stage.
“…There are various types of noise, such as transport noise emanating from roads, rail, air traffic, the noise created by human activity from industrial facilities, workplace noise produced by unwanted noise in the working environment [4]. More than 30% of Europe's population are exposed to noise levels higher than 55 dB(A) [5]. Noise exposure; varies depending on the source that emits the sound, how it is received by the human, the environment required for its propagation and perception [6].…”
Section: Introductionmentioning
confidence: 99%
“…Besides diabetes, myocardial infarction, and hypertension, a series of predictable and short-term physiological responses through the autonomic nervous system, increased blood pressure, and peripheral vasoconstriction can also be seen. Other factors, both physical and psychosocial, associated with high blood pressure are also indicators of noise exposure [4,5,8,9]. Continuous exposure to noise of 85-90 dB(A), especially in industrial environments, can lead to hearing loss in the future, increasing the threshold of hearing sensitivity [8].…”
The noise seen in different areas throughout human history has turned into a frequently complained problem with the increasing industry and technology. Unfortunately, the problem of noise has become a part of social life today. Noise pollution, which is a side effect of urbanization and industrialization, threatens society's mental and physical health. However, knowing the noise level makes it possible to take precautions. In some cases where the sound limit levels set by laws and/or regulations of many countries are not exceeded, people may complain about the noise. Noises that occur in different places in educational institutions such as universities can cause adverse effects on both students and the administrative and academic staff working there. The noise in the places where the staff and students spend their time both for relieving their hunger and resting and socializing during their rest periods prevents people from relaxing. This situation causes people not to feel rested when returning to their lessons or work. In this analysis, the Artvin Coruh University staff dining hall's sound levels, the student dining hall, and the cafeteria/bowling alley spaces used by the students were measured when they were empty and full. Besides, the bandgap of the sounds complained about by the users was determined by spectrum analysis. As a result of the study, noise levels of 29.43 dB(A), 30.75 dB(A), and 32.94 dB(A) were obtained in the measurements made in empty spaces, and 56.10 dB(A), 57.56 dB(A)and 69.76 dB(A) in the measurements made in filled areas.
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