Road traffic noise prediction model ``ASJ RTN-Model 2013'': Report of the Research Committee on Road Traffic Noise

Sakamoto, Shinichi

doi:10.1250/ast.36.49

Cited by 35 publications

(11 citation statements)

References 29 publications

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“…The current studies to calculate simulated noise focus primarily on the empirical method and the geometric acoustic method. The empirical methods such as ISO model [23] and its developing model [24,25], taking building density and the effects of front buildings into consideration, resulting in relatively large errors. Validated with reasonable accuracy and efficiency [26,27], the geometric acoustic method has been applied in traffic noise simulation, which consists of beam tracing method (BTM) [28,29], ray tracing method (RTM) [30,31] and image source method (ISM) [32].…”

Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of Road Traffic Noise among Urban Buildings Using Spatial Subdivision-Based Beam Tracing Method

Wang

Cai

Cui

2019

IJERPH

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In order to realize the simulation and evaluation of road traffic noise among urban buildings, a spatial subdivision-based beam-tracing method is proposed in this study. First, the road traffic source is divided into sets of point sources and described with the help of vehicle emission model. Next, for each pair of source and receiver, spatial subdivision-based beam-tracing method is used in noise paths generation. At last, noise distribution can be got by noise calculation of all receivers considering the complex transmission among urban buildings. A measurement experiment with a point source is carried out to validate the accuracy of the method; the 0.8 m height and 2.5-m height average errors are about 0.9 dB and 1.2 dB, respectively. Moreover, traffic noise analysis under different building layouts and heights are presented by case applications and conclusions can be reached: (1) Different patterns result in different noise distributions and patterns designed as self-protective can lead to an obvious noise abatement for rear buildings. Noise differences between the front and rear buildings are about 7–12 dB with different patterns. (2) Noise value might not show a linear variation along with the height as shielding of different layers is various in reality.

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Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of Road Traffic Noise among Urban Buildings Using Spatial Subdivision-Based Beam Tracing Method

Wang

Cai

Cui

2019

IJERPH

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“…However, the value of negative and zero direction of the wind is lower than positive direction. Different from Sakamoto (2015), it indicates an effect of the wind on noise propagation even though in a slightly way. In line with Tanaka, Shiraishi (2008), noise levels are from 10 dB higher than when it is small and its fluctuations become small.…”

Section: Building and Environment Performancesmentioning

confidence: 86%

Analysis of Resilient Design by Thermoacoustic Adaptation of Tropical Urban Model

Samodra

2017

Journal of Architecture and Urbanism

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Abstract. Climate and urban environment changes lead to tropical building adaptation and resilient strategy. They focus especially on thermal comfort and noise propagation variation as the result of global warming and urban growth. This study analyzes a conceptual design of tropical urban model on integrated design of thermal and acoustic (thermoacoustic) issues. By experimental measurement and simulation method using Computational Fluid Dynamics, the findings are directed to meet the standards and to recommend the new guidelines for sustainable urban building. The research location is in Surabaya as the urban tropical lowland area and EcoHouse of ITS, a tropical building model in an urban environment, was built as experiment model. The results highlighted that the noise barrier should consider 5.24% of the maximum window to wall ratio (WWR) in tree dimensionally analysis, horizontally and vertically. Providing vertical ventilation is the best solution for urban density, but the orientation and its flanking noise affect the passive cooling. In general, there are some factors having a high contribution in addition to WWR, such as wind acceleration, the distance, and building material.

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“…For further details, readers are referred to [83] for a critical comparison among the above-mentioned models. The ASJ RTN model predicts the noise emitted by each vehicle in different categories as a function of the vehicle speed in various traffic conditions match with urban road traffic conditions [78].…”

Section: Noise Emission Estimationmentioning

confidence: 99%

“…In the current paper, the following are assumed in noise emission estimation of the investigated traffic conditions in order to release the effect of other factors than traffic condition on noise estimation: the same vehicle classification (passenger cars) for the entire traffic flow with the same engine rotational speed, same engine load, same road geometry, and the same road pavement type. Thus, the emitted noise (A-weighted sound power level, L WA (dB(A)) in the investigated traffic conditions has been calculated according to [78], as follows:…”

Section: Noise Emission Estimationmentioning

confidence: 99%

“…Furthermore, the following are assumed in sound propagation estimation of the investigated traffic conditions in order to release the effect of other factors than traffic condition on sound propagation estimation: same distance from the prediction point to the source position (20 (m)), same ground effect, same diffraction, and the same atmospheric absorption. Thus, the noise level at the receiver (A-weighted sound pressure level, L A (dB(A)) from the ith source position to the prediction point in the investigated traffic conditions has been calculated according to [78], as follows:…”

Section: Noise Emission Estimationmentioning

confidence: 99%

See 1 more Smart Citation

Theoretical Comparison of the Effects of Different Traffic Conditions on Urban Road Environmental External Costs

Zefreh

Török

2021

Sustainability

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External costs that are associated with air pollution, climate change linked to greenhouse gas emissions (GHG), and noise are among the most important environmental externalities that are generated by road transport, which have been well monetized. This paper theoretically investigates the effects of different traffic conditions on the environmental external costs of urban roads where traffic flow is more complicated than un-interrupted traffic flows. A Monte Carlo method is used to theoretically simulate traffic speed in different traffic conditions. Subsequently, the emitted carbon dioxide (CO2), nitrogen oxides (NOx), carbon monoxide (CO), particulate matter (PM), sulfur dioxide (SO2), and noise were estimated in each of the theoretically simulated traffic conditions. Finally, the environmental external costs in each traffic condition were calculated taking the EU average costs values into account. The results showed that, when compared to free-flow condition, the total air pollutant and GHG external costs (€2010) have been increased by 6%, 31%, 44%, 50%, and 93% in under-saturated flow, accelerated flow, decelerated flow, congestion, and over-saturated congestion, respectively. Furthermore, the total noise cost (€2010/year/person exposed), as compared to free-flow condition, has been decreased by 2%, 11%, 12%, 36%, and 69% in accelerated flow, under-saturated flow, congestion, over-saturated congestion, and decelerated flow, respectively.

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Road traffic noise prediction model ``ASJ RTN-Model 2013'': Report of the Research Committee on Road Traffic Noise

Cited by 35 publications

References 29 publications

Simulation and Analysis of Road Traffic Noise among Urban Buildings Using Spatial Subdivision-Based Beam Tracing Method

Simulation and Analysis of Road Traffic Noise among Urban Buildings Using Spatial Subdivision-Based Beam Tracing Method

Analysis of Resilient Design by Thermoacoustic Adaptation of Tropical Urban Model

Theoretical Comparison of the Effects of Different Traffic Conditions on Urban Road Environmental External Costs

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