Ray Acoustics Approach to Quantitative Prediction of Highway Traffic Noise

2010 ◽  
Author(s):  
Liming Dai ◽  
Huay Seen Lee
Keyword(s):  
Prediction Model ◽  
Traffic Noise ◽  
Environmental Noise ◽  
Quantitative Prediction ◽  
Highway Traffic ◽  
Noise Levels ◽  
Modeling Approach ◽  
Highway Noise

A Highway Prediction Model (HPM) using the ray acoustics modeling approach is developed in this research. The HPM model can be used to quantitatively predict the environmental noise levels on highways of different pavements. Comparison between the measured noise levels using the SPB method and predicted noise levels with the model developed shows that the prediction model established is reliable for estimating highway noise in Canada.

scholarly journals Traffic Noise Levels in the City of Banja Luka

2018 ◽  
Vol 16 (1-2) ◽  
Author(s):  
Predrag Ilić ◽  
Dragana Nešković Markić ◽  
Ljiljana Stojanović Bjelić
Keyword(s):  
Noise Level ◽  
Environmental Problem ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Environmental Noise ◽  
Noise Levels ◽  
Great Problem ◽  
Health Institutions ◽  
Banja Luka ◽  
The City

Noise pollution, as a major environmental problem, is present in Banja Luka. The measured values exceeded the level of noise allowed, which is a great problem. Evaluation of the noise levels was carried out in the streets in the area with health institutions. Objectives of this research were to evaluate the environmental noise pollution in the City of Banja Luka due to traffic noise and to compare the measured noise levels in the city with legislation and to establish the connection between noise and the number of vehicles. Correlation between the noise level and number of vehicles was positive and significant during the study period (r=0.89). It is confirmed that, with the increase of the number of vehicle, the noise level increases, i.e. the decrease in the number of vehicle decreases the noise level.

scholarly journals Road Traffic Noise on the Santa Marta City Tourist Route

2021 ◽  
Vol 11 (16) ◽  
pp. 7196
Author(s):  
Dámaris A. Jiménez-Uribe ◽  
Darwin Daniels ◽  
Zoë L. Fleming ◽  
Andrés M. Vélez-Pereira
Keyword(s):  
Traffic Flow ◽  
Noise Level ◽  
Road Traffic ◽  
Traffic Noise ◽  
Environmental Noise ◽  
Time Of Day ◽  
Road Traffic Noise ◽  
Sampling Point ◽  
Heavy Vehicles ◽  
Noise Levels

The objective of this study was to determine the influence of vehicular traffic on the environmental noise levels of the Santa Marta City tourist route on the Colombian coast. An analysis of vehicle types and frequencies at various times of the day over nearly a year helped to track the main sources of environmental noise pollution. Five sampling points were selected, which were distributed over 12 km, with three classified as peripheral urban and two as suburban. The average traffic flow was 966 vehicles/h and was mainly composed of automobiles, with higher values in the peripheral urban area. The noise level was 103.3 dBA, with background and peak levels of 87.2 and 107.3 dBA, respectively. The noise level was higher during the day; however, there were no differences between weekdays and weekends. The results from the analysis of variance showed that the number of vehicles and the noise levels varied greatly according to the time of day and sampling point location. The peak and mean noise levels were correlated with the number of automobiles, buses and heavy vehicles. The mean noise levels were similar at all sample points despite the traffic flow varying, and the background noise was only correlated for automobiles (which varied much more than the heavy vehicles between day and night).

Characterization of Traffic Noise and Honking Assessment of an Indian Urban Road

2018 ◽  
Vol 17 (04) ◽  
pp. 1850031 ◽  
Author(s):  
Ritesh Vijay ◽  
T. Chakrabarti ◽  
Rajesh Gupta
Keyword(s):  
Traffic Noise ◽  
Traffic Monitoring ◽  
Traffic Volume ◽  
Time Interval ◽  
Highway Traffic ◽  
Noise Levels ◽  
Additional Noise ◽  
Road Width ◽  
The Impact

To study the traffic noise on an Indian urban highway, traffic noise levels (Leq, Lpeak, Lmax and Lmin), traffic volume, speed and honking incidents were measured in peak traffic hours in the morning and evening. An attempt has been made to characterize the traffic noise including the impact of honking. Honking of horn was positively correlated with Leq and negatively correlated with traffic speed. In case of traffic volume and road width, no significant correlation was established with Leq. Based on the observed honking and Leq in each time interval, statistical analysis was performed for assessing the impact of honking on traffic noise and its estimation through trend analysis. Further, quantification of honking noise was carried out considering frequency analysis of audio spectrum of traffic noise. Both the analyzes confirm the honking contributed an additional noise of 1–4[Formula: see text]dB(A) over and above the traffic monitoring noise. The study suggests that honking noise must be included as a factor while monitoring traffic noise in some places where honking is common practice. This study will help in characterizing the traffic noise and the impact of honking for further abatement studies.

scholarly journals Development of traffic noise prediction model for major arterial roads of tier-II city of India (Surat) using artificial neural network

Noise Mapping ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 172-184
Author(s):  
Ramesh B. Ranpise ◽  
B. N. Tandel ◽  
Vivek A. Singh
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Prediction Model ◽  
Prediction Models ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Prediction ◽  
Noise Levels ◽  
Street Traffic ◽  
Artificial Neural

Abstract In the issue of expanding noise levels the world over, road traffic noise is main contributor. The investigation of street traffic noise in urban communities is a significant issue. Ample opportunity has already passed to understand the significance of noise appraisal through prediction models with the goal that assurance against street traffic noise can be actualized. Noise predictions models are utilized in an increasing range of decision-making applications. This study’s main objective is to assess ambient noise levels at major arterial roads of Surat city, compare these with prescribed standards, and develop a noise prediction model for arterial roads using an Artificial Neural Network. The feed-forward back propagation method has been used to train the model. Models have been developed using the data of three roads separately, and one final model has also been developed using the data of all three roads. Among the prediction in three arterial roads, the predicted output result from the model of Adajan-Rander showed a better correlation with a mean squared error (MSE) of 0.789 and R2 value of 0.707. But with the combined model, there is a slight deterioration in mean squared value (MSE) 1.550, with R2 not getting changed much significantly, i.e., 0.755. However, the combined model’s prediction can be adopted due to the variety of data used in its training.

scholarly journals MODELLING URBAN NOISE IN CITYGML ADE: CASE OF THE NETHERLANDS

2017 ◽  
Vol IV-4/W5 ◽  
pp. 73-81 ◽  
Author(s):  
K. Kumar ◽  
H. Ledoux ◽  
T. J. F. Commandeur ◽  
J. E. Stoter
Keyword(s):  
Urban Areas ◽  
Input Data ◽  
Road Traffic ◽  
Traffic Noise ◽  
Environmental Noise ◽  
Motor Vehicles ◽  
Road Traffic Noise ◽  
Noise Levels ◽  
Noise Mapping ◽  
Urban Noise

Road traffic and industrial noise has become a major source of discomfort and annoyance among the residents in urban areas. More than 44 % of the EU population is regularly exposed to road traffic noise levels over 55 dB, which is currently the maximum accepted value prescribed by the Environmental Noise Directive for road traffic noise. With continuously increasing population and number of motor vehicles and industries, it is very unlikely to hope for noise levels to diminish in the near future. Therefore, it is necessary to monitor urban noise, so as to make mitigation plans and to deal with its adverse effects. The 2002/49/EC Environmental Noise Directive aims to determine the exposure of an individual to environmental noise through noise mapping. One of the most important steps in noise mapping is the creation of input data for simulation. At present, it is done semi-automatically (and sometimes even manually) by different companies in different ways and is very time consuming and can lead to errors in the data. In this paper, we present our approach for automatically creating input data for noise simulations. Secondly, we focus on using 3D city models for presenting the results of simulation for the noise arising from road traffic and industrial activities in urban areas. We implemented a few noise modelling standards for industrial and road traffic noise in CityGML by extending the existing Noise ADE with new objects and attributes. This research is a steping stone in the direction of standardising the input and output data for noise studies and for reconstructing the 3D data accordingly.

scholarly journals The “sound of silence” in Granada during the COVID-19 lockdown

Noise Mapping ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 16-31 ◽  
Author(s):  
Jerónimo Vida Manzano ◽  
José Antonio Almagro Pastor ◽  
Rafael García Quesada ◽  
Francesco Aletta ◽  
Tin Oberman ◽  
...  
Keyword(s):  
Human Activity ◽  
Road Traffic ◽  
Traffic Noise ◽  
Environmental Noise ◽  
Road Traffic Noise ◽  
Noise Levels ◽  
Noise Sources ◽  
Comparison Results ◽  
The Impact ◽  
The City

Abstract Exceptional circumstances in the city of Granada due to the COVID-19 lockdown have provided the opportunity to characterise the impact of humans on its urban acoustic climate. Traditional environmental noise management and urban sound planning usually take into account noise sources in the city, such as industrial activities or road traffic noise, in model estimations, as well as in empirical research. But trying to isolate human impact by itself, human activity including social activity, walking, talking or just going around the city, has always been a difficult or even impossible task. The COVID-19 lockdown measures have provided the opportunity to study urban climate as never before, affected just by natural or animal noise sources. Previous soundscape research at some iconic sites in the city of Granada carried out in 2019 before the lockdown and a special measuring campaign carried out at the same locations during the lockdown in 2020 offered valuable information on sound levels and local characteristics in order to carry out this comparison. Results show a great change in environmental noise levels that is interesting not only because of its magnitude, but also for its implications, especially at those sites where social human activity was an identifying characteristic. Natural or animal sounds became surprisingly evident at some study sites, especially where road traffic noise dramatically decreased, leading to significantly lower background noise levels. Important spectral changes are observed before and during the lockdown, suggesting a shift from anthropic to animal sources in the acoustic environment.

scholarly journals Algorithm for Reducing Truck Noise on Via Baltica Transport Corridors in Lithuania

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6475
Author(s):  
Kristina Čižiūnienė ◽  
Jonas Matijošius ◽  
Audrius Čereška ◽  
Artūras Petraška
Keyword(s):  
Traffic Noise ◽  
Noise Pollution ◽  
Environmental Noise ◽  
Energy Reduction ◽  
Residential Areas ◽  
Noise Levels ◽  
Expert Survey ◽  
Vehicle Noise ◽  
Noise Energy ◽  
Characteristic Points

The section of Via Baltica going through the territory of the Republic of Lithuania is the most traffic intensive land logistics corridor in the country. The annual transportation volume has been increasing on this road; thus, the reduction of pollution caused by vehicles has become important. If gas emissions are regulated, and carriers have to pay pollution taxes, this does not apply to noise levels. The article presents the traffic intensity in this logistics corridor, measurements of the noise level at the characteristic points, its relation to the number of vehicles passing through it and an expert evaluation of proposed methods for noise energy reduction. Environmental noise is an unwanted or harmful sound that propagates in terms of both duration and geographical coverage. Noise is associated with many human activities, but road, rail and air traffic noises have the greatest impact. Due to irrationally arranged transport network, the transit flow of freight transport crosses residential areas of the city, places of rest and recreation of the population, causing high noise levels in adjacent areas. This is the biggest problem for the urban environment. Environmental noise affects many Europeans and is therefore considered by society to be one of the biggest environmental problems. This article presents an assessment of a new traffic noise algorithm. The presented expert survey on noise energy reduction allows choosing the most appropriate method for reducing noise energy in Via Baltica transport logistics corridor. Based on the expert survey, a hierarchical table for noise energy reduction was compiled. It will allow assessing the validity of individual noise energy reduction solutions. It has become relevant for improving infrastructure of other transport corridors and choosing the most appropriate solutions to reduce vehicle noise pollution. A further application of this model can be focused on economic evaluation, forecasting of expected benefits and so on.

scholarly journals Development of Traffic Noise Prediction Model in an Educational Urban Area

2018 ◽  
Vol 4 (11) ◽  
pp. 2588 ◽  
Author(s):  
Hasan Mosa Al-Mosawe ◽  
Dhirgham Alobaydi ◽  
Amjad Albayati
Keyword(s):  
Prediction Model ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Future Research ◽  
Road Traffic Noise ◽  
Vehicle Speed ◽  
Noise Levels ◽  
Education Environment ◽  
The University

This paper studies the problem of noise pollution on the roads of the campus of University of Baghdad in Baghdad, Iraq. Due to the continuous redevelopment process conducted on the masterplan of the university, the noise levels have significantly impacted the education environment. The purpose of this paper was thus to study the sources caused and maximized the noise levels at the campus and also formulate a prediction model, identified the guidelines used for designing or developing future campus masterplans. Then, the noise levels were measured based on three variables: skid number, vehicle speed, and distance from the classrooms at seven selected points of the main ring road surrounding the university campus. Finally, the finding has shown that the classrooms' locations of the new urban additions, built in the last two decades, were laid out in the prohibited distance of road-traffic noise. In addition to that, it has confirmed that students studying in these classrooms are exposed to noise levels beyond the legislative norms and codes. Further, studying the alternatives used to improve the performance of the education environment in the existing campus of University of Baghdad can be considered in the future research directions.

Some Preliminary Results for Highway Noise Barrier Designs Based on Acoustic Band Gap Phenomenon

2008 ◽  
Author(s):  
Liang-Wu Cai
Keyword(s):  
Band Gap ◽  
Solid Wall ◽  
Traffic Noise ◽  
Wall Structure ◽  
Highway Traffic ◽  
Noise Barriers ◽  
Structural Requirement ◽  
Noise Shielding ◽  
Noise Barrier ◽  
Highway Noise

Noise is one of major annoyances in modern life. Studies have shown that the most pervasive sources of noise in our environment today are those associated with transportation, among which highway traffic noise is a dominant one. Traditional highway noise barriers are solid obstructions built along the sides of the highway, at an average cost of 1 million dollars per mile. In this paper, a new design was proposed, based on the phononic band gap phenomenon. The new design uses either a hollowed wall structure or an array of discrete columns in place of a solid wall. It is anticipated that such new designs will provide more effective noise shielding at the target frequency range, and yet reduces the structural requirement for the foundation support of the barrier wall. Preliminary simulation results are presented for a number of different configurations of the wall designs, and their relative advantages and shortcoming are compared.

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