scholarly journals Traffic noise research in tambov city

2021 ◽  
Vol 18 (5) ◽  
pp. 554-564
Author(s):  
A. A. Guskov ◽  
N. A. Stepanov ◽  
S. A. Anokhin
Keyword(s):  
Urban Planning ◽  
Noise Level ◽  
Road Network ◽  
Traffic Noise ◽  
Sound Level ◽  
Theoretical Research ◽  
Winter Period ◽  
Peak Time ◽  
Traffic Intensity ◽  
Noise Characteristics

Introduction. The problem of traffic noise on the road network of cities is considered. The reasons for the annual increase in the sound level on urban roads in Russia and abroad, as well as the factors contributing to this, are investigated. The purpose of the work: on the basis of the conducted theoretical research and the obtained experimental data, to develop measures that contribute to improving the environmental safety of the city, to build a model of the dependence of the noise level on the traffic intensity, taking into account the peculiarities of the organization of traffic and urban planning in Tambov.Materials and methods. Sound level measurements on the Tambov road network were carried out in accordance with the methodology specified in GOST 20444-2014, which provided for the assessment of the actual noise characteristics of traffic flows (by vehicle type). The measurements were carried out using a noise meter in summer and winter during peak and inter-peak times on weekdays.Results. The study of the noise level on the Tambov street and road network showed an excess of this indicator relative to the norms by 7-18%, depending on peak and inter-peak time, as well as the summer and winter period. The dependence of the traffic intensity of vehicles on the noise level in the summer and winter periods is constructed.Discussion and conclusion. The measures were proposed, including urban planning, to reduce the sound level in the areas under consideration. The complex of these measures will reduce the level of traffic noise on the city’s road network by an average of 5-15 dBA.

scholarly journals Assessment of traffic noise due to transverse rumble strips at residential areas

2018 ◽  
Vol 250 ◽  
pp. 02006
Author(s):  
Zaiton Haron ◽  
Darus Nadirah ◽  
Supandi Mohamad Afif ◽  
Yahya Khairulzan ◽  
Nordiana Mashros ◽  
...  
Keyword(s):  
Noise Level ◽  
Traffic Noise ◽  
Middle Layer ◽  
Sound Level ◽  
Skid Resistance ◽  
Residential Areas ◽  
Noise Levels ◽  
Traffic Characteristics ◽  
Level Meter ◽  
Road Characteristics

Transverse rumble strips (TRS) are commonly being installed to alert the drivers through sound and vibration effects. The sound produced affects the existing traffic noise level which caused noise annoyance to the nearby residents. This study aims to assess the traffic noise due to TRS at residential areas by determining the roadside noise levels, traffic and road characteristics and evaluating the relationship between these parameters. Middle overlapped (MO), middle layer overlapped (MLO) and raised rumbler (RR) TRS profiles with same thickness were selected. The measurements of roadside noise levels and skid resistance were conducted using sound level meter (SLM) and British pendulum tester (BPT) respectively. Traffic characteristics were evaluated using previous data measured using automatic traffic counter (ATC). In overall, MLO produced highest roadside noise levels with increase of 20.5dBA from baseline. Generally, the increase of roadside noise level due to TRS is strong with speed, weak to medium with skid resistance of TRS and no relationship with traffic volume. Based on three TRS profile types, MLO is not suitable to be installed on the roadways adjacent to the residential areas as the increase of roadside noise level is significant which is more than 5dBA compared to MO and RR.

Evaluation of Noise Characteristics of Drainage and Water Supply Systems in Apartment Bathrooms

2014 ◽  
Vol 1025-1026 ◽  
pp. 987-990
Author(s):  
Jun Oh Yeon ◽  
Kyoung Woo Kim ◽  
Kwan Seop Yang ◽  
Byung Kwon Lee
Keyword(s):  
Water Supply ◽  
Noise Level ◽  
Drainage System ◽  
Low Noise ◽  
Sound Level ◽  
Water Supply Systems ◽  
Apartment Building ◽  
Noise Characteristics ◽  
Measurement Results ◽  
Supply Systems

We have developed a low-noise drainage system, which was installed in bathrooms of apartment building units as well as in a mock-up test building, to evaluate the noise level in order to reduce the noise produced in the bathrooms of multiunit dwellings. The drainage system installed in the mock-up building consists of six types of detachable drains, and the level of noise produced during toilet use in the upper unit was measured in the lower unit. The measurement results showed that low-noise drainage 4 exhibited the Leq(equivalent continuous sound level) at 34.7 dB(A). The noise measurement results of various types of low-noise drains installed in an apartment building showed that the Leqduring toilet use was 46.7 dB(A) on average, and the Leqduring sink use was 40.5 dB(A) on average.

scholarly journals Vehicular Traffic Noise Modelling of Urban Area- A Contouring & Artificial Neural Network-Based Approach

2021 ◽  
Author(s):  
Abhijit Debnath ◽  
Prasoon Kumar Singh ◽  
Sushmita Banerjee
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Traffic Flow ◽  
Noise Level ◽  
Urban Areas ◽  
Traffic Noise ◽  
Traffic Volume ◽  
Noise Levels ◽  
Noise Characteristics ◽  
Artificial Neural

Abstract Road traffic vehicular noise is one of the main sources of environmental pollution in urban areas of India. Also, steadily increasing urbanization, industrialization, infrastructures around city condition causing health risks among the urban populations. In this study we have explored noise descriptors (L10, L90, Ldn, LNI, TNI, NC), contour plotting and finds the suitability of artificial neural networks (ANN) for the prediction of traffic noise all around the Dhanbad township in 15 monitoring stations. In order to develop the prediction model, measuring noise levels of five different hours, speed of vehicles and traffic volume in every monitoring point have been studied and analyzed. Traffic volume, percent of heavy vehicles, Speed, traffic flow, road gradient, pavement, road side carriageway distance factors taken as input parameter, whereas LAeq as output parameter for formation of neural network architecture. As traffic flow is heterogenous which mainly contains 59% 2-wheelers and different vehicle specifications with varying speeds also effects driving and honking behavior which constantly changing noise characteristics. From radial noise diagrams shown that average noise levels of all the stations beyond permissible limit and highest noise levels were found at the speed of 50-55 km/h in both peak and non-peak hours. Noise descriptors clearly indicates high annoyance level in the study area. Artificial neural network with 7-7-5 formation has been developed and found as optimum due to its sum of square and overall relative error 0.858 & .029 in training and 0.458 & 0.862 in testing phase respectively. Comparative analysis between observed and predicted noise level shows very less deviation up to ±0.6 dB(A) and the R2 linear values are more than 0.9 in all five noise hours indicating the accuracy of model. Also, it can be concluded that ANN approach is much superior in prediction of traffic noise level to any other statistical method.

scholarly journals Analysis of Traffic Noise in Taman Kota Lumintang Denpasar

2019 ◽  
Vol 10 (02) ◽  
pp. 20585-20591
Author(s):  
Adrian Pradana ◽  
I Made Tamba ◽  
I Ketut Widnyana
Keyword(s):  
Noise Level ◽  
Open Space ◽  
Direct Method ◽  
Traffic Noise ◽  
Ground Level ◽  
Quality Standard ◽  
Sound Level ◽  
The Road ◽  
Level Meter ◽  
City Park

This research was conducted to analyze the level of traffic noise in Lumintang City Park, Denpasar. The measurement method is by using a direct method that is using an integrating sound level meter that has an LTMS measurement facility, namely Leq with a measuring time every 5 seconds. The examination is carried out by measuring for 10 minutes. The measurement time is carried out during the 24 hour activity (NGO) on December 3, 2018. The measurement distance ranges from 5-10 meters from the road, with a height of 1-1.2 m from the ground level. The results of the research on the level of traffic noise in Lumintang City Park Denpasar showed the noise level that exceeded the noise level quality standards of the green open space area of 50 dB, where in the first lane the traffic noise level was 92.52 dB at L3. While the noise research in lane 2 shows that the highest traffic noise level of 85.70 dB occurs at L5. For day and night (NGO) noise levels in lane 1 amounting to 70.13 dB and lane 2 of 67.95 dB has exceeded the quality standard of green open space, so that it can cause physical and psychological disturbances for visitors to the Taman Lumintang City of Denpasar..

scholarly journals Traffic Noise Level Assessment in the Residential Area around Different Road Functions in Malang City, East Java, Indonesia

2021 ◽  
Vol 29 (3) ◽  
Author(s):  
Ngudi Tjahjono ◽  
Imam Hanafi ◽  
Latipun Latipun ◽  
Suyadi Suyadi
Keyword(s):  
Psychological Health ◽  
Noise Level ◽  
Urban Areas ◽  
Negative Impact ◽  
Heavy Traffic ◽  
Traffic Noise ◽  
Sound Level ◽  
Noise Levels ◽  
Significant Difference ◽  
Motorized Vehicles

Noise due to motorized vehicles is a major problem in urban areas which can interfere with physiological and psychological health. This study aims to determine the extent of noise levels outside and inside the house around the function of different roads in Malang City, East Java, Indonesia. The study was conducted by measuring the traffic noise level using a sound level meter. Measurements were taken in the afternoon between 16.00-21.00 during the peak of heavy traffic and outside working hours when residents were already at home. Statistical Student’s t-test analysis was used to test differences in the average noise level outside and inside the house on each road function. Variance analysis was used to compare noise levels around primary arterial roads, secondary arteries, primary collectors, secondary collectors, primary local, and secondary local. From the measurement results, it is known that the noise due to motorized vehicles is 84.28 dB on average. This exceeds the threshold based on the Decree of the State Minister for the Environment Number 48 of 1996. There was a significant difference in noise level between outside and inside the house on each road function. There was no significant difference in noise level between the functions of the road segments both outside and inside the house. The results of the study concluded that the traffic noise level at 16:00 to 21:00 hours on all roads that were targeted for research exceeds the national threshold. It is recommended that the level of traffic noise around roads in the city of Malang can be reduced to minimize the negative impact on physiological and psychological health.

scholarly journals Traffic Noise Assessment at Residential Areas in Skudai, Johor

2018 ◽  
Vol 34 ◽  
pp. 02024
Author(s):  
F.S. Sulaiman ◽  
N. Darus ◽  
N. Mashros ◽  
Z. Haron ◽  
K. Yahya
Keyword(s):  
Noise Level ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Traffic Volume ◽  
Sound Level ◽  
Pollution Level ◽  
Vehicle Speed ◽  
Residential Areas ◽  
Traffic Characteristics ◽  
Noise Assessment

Vehicles passing by on roadways in residential areas may produce unpleasant traffic noise that affects the residents. This paper presents the traffic noise assessment of three selected residential areas located in Skudai, Johor. The objectives of this study are to evaluate traffic characteristics at selected residential areas, determine related noise indices, and assess impact of traffic noise. Traffic characteristics such as daily traffic volume and vehicle speed were evaluated using automatic traffic counter (ATC). Meanwhile, noise indices like equivalent continuous sound pressure level (LAeq), noise level exceeded 10% (L10) and 90% (L90) of measurement time were determined using sound level meter (SLM). Besides that, traffic noise index (TNI) and noise pollution level (LNP) were calculated based on the measured noise indices. The results showed an increase in noise level of 60 to 70 dBA maximum due to increase in traffic volume. There was also a significant change in noise level of more than 70 dBA even though average vehicle speed did not vary significantly. Nevertheless, LAeq, TNI, and LNP values for all sites during daytime were lower than the maximum recommended levels. Thus, residents in the three studied areas were not affected in terms of quality of life and health.

Effect of distance from road intersection on developed traffic noise levels

2004 ◽  
Vol 31 (4) ◽  
pp. 533-538 ◽  
Author(s):  
Saad Abo-Qudais ◽  
Arwa Alhiary
Keyword(s):  
Noise Level ◽  
Traffic Noise ◽  
Sound Level ◽  
Signalized Intersections ◽  
Environment Pollution ◽  
Noise Levels ◽  
The Road ◽  
Traffic Intersection ◽  
Noise Measurements ◽  
Level Meter

The main objective of this study was to evaluate the variation in traffic equivalent noise levels as distance from the road intersection increases. To achieve this objective, traffic volume and equivalent noise level were monitored at 40 signalized intersections in Amman, the capital of Jordan. An integrated sound level meter (ISLM) was used to measure 1 min equivalent noise level along all approaches of the evaluated intersections. A total of 3326 noise measurements were performed. The collected data were analyzed to evaluate the variation of noise levels as distance from the intersection increases. The results indicated that equivalent noise levels were significantly affected by distance from the signal stop line. The equivalent noise levels at distances 50 and 100 m from the intersection were found to be 1.5 to 2.0 dB less than those at 0 m. While at 200, 250, and 300 m from the intersection, the monitored equivalent noise levels were found to be 3.8 to 4 dB higher than that at 0 m. At distances farther than 250 m, the measured equivalent noise levels tend to keep constant value of equivalent noise level as distance increased.Key words: noise, traffic, intersection, environment, pollution.

Experimental Investigation on Functional Parameters of the Engines Exhaust Mufflers

2016 ◽  
Vol 822 ◽  
pp. 224-229
Author(s):  
Carmen Bujoreanu ◽  
Eugen Golgoţiu ◽  
Sorinel Gicu Talif ◽  
Gheorghe Manolache
Keyword(s):  
Pressure Drop ◽  
Noise Level ◽  
Fuel Efficiency ◽  
Complex Function ◽  
Sound Level ◽  
Functional Parameters ◽  
Board Type ◽  
External Data ◽  
Noise Characteristics ◽  
Level Meter

The paper presents the results obtained by investigating some functional parameters as the noise level, the pressure – drop and the temperatures of three different manufacturing solutions for mufflers. The results emphasize the corroboration between these parameters and contribute to the improvement of the muffler fabrication and design since it is a complex function that affects noise characteristics, emission and fuel efficiency of engine. It was designed a measurement chain for the noise level evaluation of the mufflers including a microphone Bruel&Kjaer type 4133, a Impulse Precision Sound Level Meter Bruel&Kjaer, type 2209, with standard filters and a multifunctional external data acquisition board type-NI DAQPad-6015 . We assessed the noise level, using two based LabVIEW virtual instruments, measuring total band power and the equivalent continuous sound pressure level. It was also created a measurement chain for the pressure – drop evaluation and temperature distribution on the external surface of the mufflers.

scholarly journals Spatial Mapping of Traffic Noise Levels in Urban Areas

2011 ◽  
Vol 47 (2) ◽  
Author(s):  
Mohammed Taleb Obaidat
Keyword(s):  
Noise Level ◽  
Urban Areas ◽  
City Planning ◽  
Traffic Noise ◽  
Sound Level ◽  
Signalized Intersections ◽  
Mapping Technique ◽  
Residential Areas ◽  
Noise Levels ◽  
High Traffic Volume

This paper combines field data with an analytical approach to spatially map noise levels due to traffic movements at relatively high traffic volume signalized intersections utilizing the potential of Geographic Information Systems (GIS). Noise data were collected using a discrete mapping technique at 29 signalized intersections, as well as between intersections, and at their respective neighborhood areas in Amman, capital of Jordan. Data were collected in three different highly congested traffic peak periods: 7:30 a.m.-9:00 a.m., 1:30 p.m.-3:00 p.m., and 9:00 p.m.-11:00 p.m. A portable precision sound level meter capable of measuring noise levels from 34 to 134 decibels (dB) was used during the data collection process. The highest recorded noise level at some signals was 80 dB, while the lowest was 34 dB. In fact, some signalized intersections showed higher noise levels than the acceptable or the standard ones, i.e., 65 dB for daytime and 55 dB for nighttime in residential areas at city center. Two-dimensional (2D) vector and raster maps of noise levels, at different time periods for signals' areas and neighborhoods, were spatially displayed. Results showed that the developed GIS maps could be useful for city planning and other environmental management applications for the purpose of: 1) temporal monitoring and queries of noise level changes as a function of time, 2) spatial queries to find the highest noise disturbance location and its time of the day, 3) development of an online noise information system, 4) using noise level based spatial maps as indicators of variation in land prices, and 5) forecasting and current assessment of the acoustic climate of urban areas.

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