scholarly journals Comparison of mathematical methods and measurements of traffic noise indices in pedestrian routes

2020 ◽  
Vol 20 (1) ◽  
pp. 351-364
Author(s):  
Guillermo Angel Perez Lopez ◽  
Léa Cristina Lucas de Souza
Keyword(s):  
Mathematical Models ◽  
Road Traffic ◽  
Traffic Noise ◽  
Pollution Index ◽  
Noise Pollution ◽  
Sound Level ◽  
Pollution Indices ◽  
Road Traffic Noise ◽  
Mathematical Methods ◽  
Vehicle Traffic

Abstract In this study, we propose an analysis of the vehicular traffic noise indices and comparison between field measurements and prediction data obtained from mathematical models. The study area consists of two pedestrians routes of a medium-sized South American city. University students use these routes in displacements between their universities and residences. We monitored twenty-eight points along the two routes, performing three daytime measurements for each point. The calculated values were obtained from two mathematical predicted models: the English model CRTN (Calculation of Road Traffic Noise) and the French model NMPB-Routes (Nouvelle Methode de Prevision de Bruit). The measurements considered two noise descriptors: the A-weighted equivalent sound level (LAeq) and the noise pollution index (Lnp). The results show that the pedestrians are exposed to excessive levels of vehicle traffic noise along these routes. However, the analysis showed that the two mathematical models achieved good similarity and high performance in the prediction potential. The CRTN model has a better performance than NMPB, proving to be useful as an auxiliary tool in the monitoring of vehicle traffic noise. Finally, we used the CRTN (LAeq) predictions to generate the map of noise pollution indices.

Application of BP Neural Network in Traffic Noise Prediction

2012 ◽  
Vol 518-523 ◽  
pp. 3838-3842
Author(s):  
Gang Liu ◽  
Li Hua Lin ◽  
Rui Tian
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Measured Data ◽  
Sound Level ◽  
Road Traffic Noise ◽  
Noise Prediction

A model of BP neural network for road traffic noise prediction was established by using some road traffic parameters in this paper. Then use this model to predict equivalent continual sound level of road traffic noise, After an overview about the neural approach, the learning; and production phase results are shown and contrasted with the measured data. They point out how good is the approach proposed to model noise pollution in urban areas.

scholarly journals Evaluation of road traffic noise near tube-shaped bus rapid transit shelters

2021 ◽  
Vol 9 (72) ◽  
Author(s):  
Geanesson Alberto de Oliveira Santos ◽  
Eriberto Oliveira do Nascimento ◽  
Paulo Henrique Trombeta Zannin
Keyword(s):  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Sound Level ◽  
Urban Traffic ◽  
Bus Rapid Transit ◽  
Road Traffic Noise ◽  
Rapid Transit ◽  
Noise Levels

Noise pollution is generally imperceptible, but it can cause various disorders, including psychological disorders, hearing loss and cardiovascular disease. Curitiba Municipal Law 10.625:2002 establishes upper limits of daytime noise exposure according to zoning areas and land use in the City of Curitiba. The purpose of this study was to evaluate noise immissions of urban traffic in the proximities of Bus Rapid Transit (BRT) shelters in Curitiba, Brazil. Daytime traffic noise levels were measured between 8am and 5pm near the entrance of these bus shelters in July and August 2014. Fifty-four measurement points at parks, residences, stores, schools, universities and hospitals in different zoning groups of the municipality were selected as a function of the type of population. The noise levels were recorded using a class I sound level meter. Brazil has no specific standard or law for traffic noise immissions, so the guidelines of the Brazilian standard ABNT NBR 10151:2000 were used. It was concluded that 74% of the measured noise levels varied from 70 to 76 dB(A). Only point 48, close to the Antônio Meireles Sobrinho BRT Shelter, was considered free of noise pollution. Traffic noise accounts for an overall average of 73 dB(A). A few bus shelters installed on the same street had an absolute average difference of 3 dB(A), while bus shelters located farther away from roads were the least noisy. The lowest average traffic noise levels, i.e., 71 dB(A), were recorded on roads for exclusive use by BRT buses.

scholarly journals The influence of a signal’s time structure on the perceived noise annoyance of road traffic noise

2021 ◽  
Author(s):  
Jan Felcyn
Keyword(s):  
Road Traffic ◽  
Temporal Structure ◽  
Traffic Noise ◽  
Sound Level ◽  
Time Structure ◽  
Common Source ◽  
Road Traffic Noise ◽  
Noise Annoyance ◽  
Modern Cities ◽  
Negative Feelings

Abstract Purpose Road traffic noise is the most common source of noise in modern cities. The noise indicators used to manage noise do not take into account its temporal structure. However, in cities the traffic flow varies during the day, peaking due to congestion and more fluent periods. In this research we sought to analyze how people (giving answers on a numerical ICBEN scale) perceive noise stimuli with the same LAeqT values but different time structures (more/less noise events, different amplitude envelopes). Methods 31 people with normal hearing took part in an experiment conducted in an anechoic chamber. Participants listened to 18 different noise recordings and rated each of them using the numerical ICBEN scale regarding noise annoyance. Results The results showed that only sound level was a statistically significant factor. However, based on people’s remarks about noise, we can also say that the more intermittent the noise is, the more negative feelings it evokes in people. Conclusions Time structure does not have a significant influence on people’s judgments about noise annoyance. However, people tend to have a preference for a steady noise rather than an intermittent one.

A Review of Adverse Effects of Road Traffic Noise on Human Health

2018 ◽  
Vol 17 (01) ◽  
pp. 1830001 ◽  
Author(s):  
Devi Singh ◽  
Neeraj Kumari ◽  
Pooja Sharma
Keyword(s):  
Human Health ◽  
Work Performance ◽  
Road Traffic ◽  
Disease Risk ◽  
Traffic Noise ◽  
Cardiovascular Disease Risk ◽  
Noise Pollution ◽  
Health Hazards ◽  
Road Traffic Noise ◽  
Rapid Urbanization

Noise pollution due to road traffic is a potential threat to human health. Since it is a global hazard, the rapid urbanization and exponential traffic growth have aggravated the problem. Population residing along the busy traffic lanes is continuously exposed to the sound levels which are above the permissible limits. This constant exposure to noise pollution is a cause of concern as it leads to several adverse impacts on human health. Traffic noise causes irritation and annoyance, sleep disturbances, cardiovascular disease, risk of stroke, diabetes, hypertension and loss of hearing. It results in decreased work performance. The present review highlights the serious health hazards of road traffic noise (RTN) which needs to be curbed. Preventive measures of noise pollution can help in combating noise-induced health hazards and increased work performance.

The Study of the Beijing Traffic Noise Pollution Control Countermeasures

2014 ◽  
Vol 641-642 ◽  
pp. 853-859
Author(s):  
Wei Wang ◽  
Hui Zhao ◽  
Guan Xing Wang ◽  
Hua Zhen Zhou
Keyword(s):  
Road Traffic ◽  
Control Strategies ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Environmental Issues ◽  
Control Measures ◽  
Road Traffic Noise ◽  
Typical Time ◽  
The Status ◽  
And Control

Traffic noise is a major source of noise pollution in the urban environment, including road traffic noise and rail traffic noise, which has become one of the domestic large and medium cities in environmental issues to be solved. This paper analyzes the status of the Beijing traffic noise pollution and control strategies, and a typical apartment block selected as a case, analyzes its noise pollution elements, severity, time distribution, and draws a noise map of the plane area and a dormitory building in the noise conditions typical time. Last we discussed and gave the method based on noise control measures.

Statistical Study of the Instantaneous Values of Traffic Noise Sound Pressure Level

2002 ◽  
Vol 33 (8) ◽  
pp. 16-24
Author(s):  
Jesús Alba Fernández ◽  
Marcelino Ferri García ◽  
Jaime Ramis Soriano ◽  
Juan Antonio Martínez Mora
Keyword(s):  
Sound Pressure Level ◽  
Sound Pressure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Relevant Information ◽  
Sound Level ◽  
Pressure Level ◽  
Road Traffic Noise ◽  
Statistical Parameters ◽  
Sound Event

In environmental acoustics the knowledge of the time dependency of the sound level provides relevant information about a sound event. In this sense, it may be said that conventional sound level metres have frequently implemented programs to calculate the fractiles (percentiles) of the distribution of instantaneous sound levels; and there are several indexes to evaluate the noise pollution, based on different statistical parameters. For further analysis of sound, and to obtain the commented indexes, it is accepted that this distribution is normal or gaussian. The questions we've tried to solve in this work are the following: First of all, whether the time dependent distribution of the variable sound pressure level should be considered as Gaussian in general cases or only in some particular ones. On the other hand, we have studied how the frequency of the sampling affects the resulting distribution of a given a sound event. To these ends, a set of road traffic noise events has been evaluated. Furthermore, even in gaussian distributions of sound pressure levels, the average of the distribution will not be coincident with the equivalent sound pressure level; that is the level of the average quadratic pressure. The difference between this parameter, and its dependence on the standard deviation, is studied.

scholarly journals Noise Events Monitoring for Urban and Mobility Planning in Andorra la Vella and Escaldes-Engordany

Environments ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 24 ◽  
Author(s):  
Rosa Alsina-Pagès ◽  
Robert Garcia Almazán ◽  
Marc Vilella ◽  
Marc Pons
Keyword(s):  
Urban Areas ◽  
Road Traffic ◽  
Signal To Noise Ratio ◽  
Traffic Noise ◽  
Critical Factor ◽  
Noise Pollution ◽  
Urban Environments ◽  
Road Traffic Noise ◽  
City Life ◽  
The Impact

Noise pollution is a critical factor and it has an important impact on public health, with the relationship between road traffic noise (RTN) and several illnesses in urban areas of particular concern. Andorra is currently developing a national strategy regarding noise pollution in their urban environments. The Ministry of Environment, Agriculture and Sustainability is trying to to identify, monitor, map and model the effects of noise pollution and design mitigation policies to reduce the impact in certain priority areas. This analysis should take into account the existence of different types of anomalous noise events (ANEs) present in the street, e.g., horns, people talking, music, and other events that coexist with RTN, to characterize the soundscape of each of the locations. This paper presents a preliminary analysis considering both the Signal-to-Noise Ratio (SNR) and the duration of the ANEs to evaluate their presence in urban areas in the three different locations in Andorra la Vella and Escaldes-Engordany. The experiments conducted required a 10-h recording campaign distributed in the three locations under study, which was evaluated on two different days, one during the week and the other on the weekend. Afterwards, the data were carefully labeled and the SNR of each event was evaluated to determine the potential impact of the four categories under study: vehicles, works, city life and people.

Research for Noise Reduction Performance of Rubberized Asphalt Overlay

2015 ◽  
Vol 744-746 ◽  
pp. 1335-1338 ◽  
Author(s):  
Hong Bo Zhang ◽  
Hua Tan
Keyword(s):  
Noise Reduction ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Test Method ◽  
Good Effect ◽  
Road Traffic Noise ◽  
Asphalt Overlay ◽  
Sources Of Pollution ◽  
Reduction Effect

In the environment of noise pollution, the noise of pavement is one of the main sources of pollution. It has serious impact on the natural and social environment and interference with people's learning and work. The research shows that the tire or road noise will be a major part of the traffic noise when the car speed is greater than 30km/h and the truck speed is greater than 50km/h [1]. This paper analyzes the status quo of study of rubber asphalt overlay noise reduction and mechanism. Through effective traffic noise test method, we have analysis the noise reduction effect of rubber asphalt overlay. Results of the study shows that rubber asphalt overlay can well reduce road traffic noise and it has a good effect of improving the comfort of driving.

scholarly journals Road Traffic Noise Pollution a Hazard

1970 ◽  
Vol 42 (4) ◽  
pp. 435-440
Author(s):  
Tayyaba Aftab ◽  
Farzana Bashir ◽  
Tahira Shafiq
Keyword(s):  
Noise Level ◽  
Road Traffic ◽  
Traffic Noise ◽  
Working Hours ◽  
Noise Pollution ◽  
Road Traffic Noise ◽  
Engineering Controls ◽  
Frequent Use ◽  
High Level ◽  
Average Noise Level

A road traffic noise study was conducted in Lahore at 18 busy places of high traffic flow in peak working hours of the day. It has been found that the day time average noise level has crossed the permissible limit of 85dB(A) at 90% busy points in the city. The maximum average noise level recorded in Lahore was 104 dB(A). This high level attributed to vehicular traffic specially auto rickshaw with ineffective silencers (without filters) and frequent use of the pressure horns by buses, wagons and trucks etc. The findings of the survey provide enough baseline data for engineering controls and interim legislation against traffic noise pollution. Key words: Noise pollution, Traffics load , Community health, Lahore city Bangladesh J. Sci. Ind. Res. 42(4), 435-440, 2007

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