The Monitoring and Prevention of Traffic Noise in Urban Road

2014 ◽  
Vol 933 ◽  
pp. 1008-1013 ◽  
Author(s):  
Yong Xing Tong ◽  
Yong Qing Jiang ◽  
Zhen Zhou ◽  
De Zhong Ma
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
National Standards ◽  
Pollution Monitoring ◽  
Monitoring Data ◽  
Space Distribution ◽  
Road Traffic Noise ◽  
Distribution Analysis ◽  
Harbin City

With the continuous development of social economy and urbanization in our country, noise pollution has become the fourth largest environment pollution in our country but water pollution, air pollution, solid waste pollution, which is the widest influence of traffic noise. In recent years, with the development of automobile industry and urban transportation, road traffic noise pollution in Harbin phenomenon is increasingly prominent, which seriously affected the People's daily life. Through detailed survey we found that the research on road traffic noise pollution situation in Harbin is very less, and part of the evaluation is not accurate. In this paper, firstly the characteristics of road traffic noise and noise evaluation index selection is discussed in detail. The xuefu road sections in Harbin city traffic noise and traffic noise pollution monitoring research in detail strict accordance with national standards. According to monitoring data of xuefu road traffic noise pollution source in time and space distribution analysis, the roughly the time distribution and spatial distribution of xuefu road traffic flow. By the overall analyzed monitoring data characteristic, the xuefu road traffic noise pollution is serious. According the previous analysis and research, the researchers find out the main factors influencing the xuefu road traffic condition, and we puts forward some countermeasures for the noise reduction. Through the study of this paper, that is to Harbin city xuefu road for the future of the road traffic noise monitoring and management work provide favorable basis, and it has good practical application value. It aimed at Harbin city road traffic noise control, urban planning and construction, provide theoretical basis for government decisions.

The Study of Monitoring and Control in the Urban Traffic Noise

2013 ◽  
Vol 711 ◽  
pp. 294-298 ◽  
Author(s):  
Yong Xing Tong ◽  
Yong Qing Jiang ◽  
Zhen Zhou ◽  
De Zhong Ma
Keyword(s):  
Road Traffic ◽  
Evaluation Studies ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Safety Analysis ◽  
The State ◽  
Urban Traffic ◽  
Road Traffic Noise ◽  
Distribution Analysis ◽  
Monitoring And Control

In recent years, with the development of the automobile industry and urban traffic, the pollution of road traffic noise in Harbin has become more and more deleterious. After a detailed survey, it was found that the study about the situation of traffic noise pollution in Harbin was less and the result of evaluation was not accurate enough. In addition, the monitoring spots selected were so many that the workload was too heavy. Aim at this phenomenon, a new and comprehensive monitor on road traffic noise in Harbin and evaluation studies was done. The research was according to the state standards. The selected 35 road sections, the source of traffic noise and the state of traffic noise in Harbin and the state of traffic noise pollution were monitored detailed. The temporal and spatial distribution analysis on the source of traffic noise pollution in Harbin was carried out according to the monitoring datum. Through the monitoring safety analysis and overall character analysis on the state of road traffic noise, it was educed the phenomena of road traffic noise was serious pollution in Harbin. The mean value of equivalent continuous sound pressure level was 72.5dB, exceed state criterion about 2.5dB. Traffic noise of region was concluded that Daowai district>Daoli district>Xiangfang district>Nangang district by the traffic noise monitoring and safety analysis. Finally, the researchers found out the main factors which influence the state of road traffic conditions in Harbin based on the previous studies, and provided the countermeasures to reduce the noise.

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.

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

scholarly journals Road Traffic Noise Pollution Analysis for Cernavoda City

2017 ◽  
Vol 252 ◽  
pp. 012057 ◽  
Author(s):  
L. Manea ◽  
A. Manea ◽  
D. Florea ◽  
S. Tarulescu
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Road Traffic Noise

ConvTasNet-based anomalous noise separation for intelligent noise monitoring

2021 ◽  
Vol 263 (4) ◽  
pp. 2044-2051
Author(s):  
Han Li ◽  
Kean Chen ◽  
Bernhard U. Seeber
Keyword(s):  
Road Traffic ◽  
Low Cost ◽  
Traffic Noise ◽  
Real Life ◽  
Noise Pollution ◽  
Road Traffic Noise ◽  
Scale Invariant ◽  
Acoustic Sensor Networks ◽  
Noise Assessment ◽  
Sound Separation

Noise pollution has become a growing concern in public health. The availability of low-cost wireless acoustic sensor networks permits continuous monitoring of noise. However, real acoustic scenes are composed of irrelevant sources (anomalous noise) that overlap with monitored noise, causing biased evaluation and controversy. One classical scene is selected in our study. For road traffic noise assessment, other possible non-traffic noise (e.g., speech, thunder) should be excluded to obtain a reliable evaluation. Because anomalous noise is diverse, occasional, and unpredictable in real-life scenes, removing it from the mixture is a challenge. We explore a fully convolutional time-domain audio separation network (ConvTasNet) for arbitrary sound separation. ConvTasNet is trained by a large dataset, including environmental sounds, speech, and music over 150 hours. After training, the scale-invariant signal-to-distortion ratio (SI-SDR) is improved by 11.40 dB on average for an independent test dataset. ConvTasNet is next applied to anomalous noise separation of traffic noise scenes. We mix traffic noise and anomalous noise at random SNR between -10 dB to 0 dB. Separation is especially effective for salient and long-term anomalous noise, which smooth the overall sound pressure level curve over time. Results emphasize the importance of anomalous noise separation for reliable evaluation.

Developing an Innovative Urban Traffic Noise Monitoring System

2017 ◽  
Vol 21 ◽  
pp. 551-556 ◽  
Author(s):  
Ilinca Mirela Beca ◽  
Mihai Iliescu
Keyword(s):  
Monitoring System ◽  
Query Language ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Urban Traffic ◽  
Pollution Monitoring ◽  
Present Moment ◽  
Urban Noise ◽  
Public Data

The transportation policies focusing on minimizing the environmental impact aim at an improved quality of life and health of the population, the urban one in particular. Noise pollution is one of the biggest problems associated with the European urban environment at the present moment, mainly because of the ever-increasing road traffic. SUNET system (System for Urban Noise and Eco-Traffic) was designed to improve the management of the noise pollution in Cluj-Napoca and to provide up-to-date public data on a user-friendly interface. The implementation of the application over the entire municipality is highly advantageous as it creates a link between the town’s administration (the local authorities, the City Hall of Cluj-Napoca) and the user (the citizens) through this system which is dynamic, modern and compliant with the European regulations. The graphic interface uses the HTML (HyperText Markup Language) code, while the database is set up in an SQL (Structured Query Language) format and contains information about the characteristics of the system and users alike, all organized in specific tables. The need for an online urban noise pollution monitoring system, such as the SUNET one, appears to allow the provision of fairly realistic and up-to-date information and encourage the community to actively assist in the application of proper action plans and the decision-making process when it comes to the population’s exposure to high levels of noise pollution.

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