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

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.

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Spatial Mapping of Traffic Noise Levels in Urban Areas

Journal of the Transportation Research Forum ◽

10.5399/osu/jtrf.47.2.1711 ◽

2011 ◽

Vol 47 (2) ◽

Cited By ~ 1

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

MATEC Web of Conferences ◽

10.1051/matecconf/201825002006 ◽

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.

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

10.21203/rs.3.rs-707329/v1 ◽

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.

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Effect of distance from road intersection on developed traffic noise levels

Canadian Journal of Civil Engineering ◽

10.1139/l04-016 ◽

2004 ◽

Vol 31 (4) ◽

pp. 533-538 ◽

Cited By ~ 8

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.

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A comprehensive evaluation of the level of noise pollution in hospitals of Kermanshah University of Medical Sciences

Global NEST Journal ◽

10.30955/gnj.002416 ◽

2018 ◽

Vol 20 (2) ◽

pp. 363-367

Keyword(s):

Noise Level ◽

Comprehensive Evaluation ◽

Noise Pollution ◽

Hospital Staff ◽

Time Of Day ◽

Sound Level ◽

International Standards ◽

Noise Levels ◽

Significant Difference ◽

Average Noise Level

Noise pollution higher than the standard values intensifies the patients' disease and also has negative effects on hospital staff. This study aimed to determine the level of noise pollution in the Kermanshah hospitals and also to compare obtained data with national and international standards. Multifunctional sound level meter (Model CEL – 450), has been applied for determining the sound level in different parts of a hospital in 3 different time of day (morning, visiting hours (evening), and night) for working day and holiday. The highest level was on working days and it was 60.24±5.76 dB. The average noise level on holiday was 58.15±5.44 dB. Generally, the average noise level in all studied hospitals was higher than the standard levels. The results of the analyses showed that when the P=0.003, there’s a significant difference between the average noise levels on different days. According to the results of the studies, it is necessary to plan and take managerial and technical – engineering measures to reduce the noise levels to standard levels.

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A Study of Some of the Indicators of Noise Pollution in Certain Residential Districts in Fallujah City

Iraqi Journal of Science ◽

10.24996/ijs.2021.62.8.10 ◽

2021 ◽

pp. 2571-2579

Author(s):

Ahmed H. Ali ◽

Mohammed M. Abed ◽

Berivan H. Mahdi ◽

Wassan D. Hussain ◽

Aisar M. Mohaisen

Keyword(s):

Noise Level ◽

Noise Exposure ◽

Heavy Traffic ◽

Field Measurements ◽

Noise Pollution ◽

Sound Level ◽

Noise Levels ◽

Mean Values ◽

Daily Average ◽

Main Streets

The aim of this study was to evaluate the effects of noise exposure in certain residential districts in Fallujah city. Twenty-nine stations were selected and divided into two groups; the first group was located 50 to 100 metres from the main streets (quiet areas), whilst the second was located directly on the main streets. Noise levels were measured at a rate of three readings per station for different time periods for approximately sixty days in the year 2020. Mean values were taken in both the morning and evening using a portable sound level meter (Auto range, RS-232). The highest noise level was measured at Alforkan station for the morning reading (83.8 dB) within the second group, while the lowest noise level was measured at Alshohada alawla district station for the morning reading (63.2 dB) within the first group. As for the results of the daily noise level in the evening, the highest daily average (79.4 dB) was measured at Jaish al Shabi street, while the lowest daily average (56.4 dB) was at Dor Alsekak district. The total average noise levels for the morning measurements for the first and second groups were 66.7 dB and 77.2 dB, respectively, whereas those for evening measurements were 65.3 dB and 71.7 dB, respectively. According to field measurements, the average values for the noise (traffic) for the first and second groups in the morning and afternoon exceeded 68 dB, which may cause people to feel very disturbed according to the WHO guidelines on exposure to external environmental noise. In general, all the results measured in this study are above the limits allowed both locally and internationally. This is due to certain erroneous practices in daily activities in addition to the irregular spread of electric generators and commercial activities as well as heavy traffic in the city.

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Prediction of L10 and Leq Noise Levels Due to Vehicular Traffic in Urban Area Using ANN and Adaptive Neuro-Fuzzy Interface System (ANFIS) Approach

10.4018/978-1-6684-2408-7.ch027 ◽

2022 ◽

pp. 597-611

Author(s):

Vilas K Patil ◽

P.P. Nagarale

Keyword(s):

Noise Level ◽

Urban Areas ◽

Road Traffic ◽

Traffic Noise ◽

Vehicular Traffic ◽

Noise Levels ◽

Anfis Model ◽

Neuro Fuzzy ◽

Interface System ◽

Artificial Neural Network Ann

Recently in urban areas, road traffic noise is one of the primary sources of noise pollution. Variation in noise level is impacted by the synthesis of traffic and the percentage of heavy vehicles. Presentation to high noise levels may cause serious impact on the health of an individual or community residing near the roadside. Thus, predicting the vehicular traffic noise level is important. The present study aims at the formulation of regression, an artificial neural network (ANN) and an adaptive neuro-fuzzy interface system (ANFIS) model using the data of observed noise levels, traffic volume, and average speed of vehicles for the prediction of L10 and Leq. Measured noise levels are compared to the noise levels predicted by the experimental model. It is observed that the ANFIS approach is more superior when compared to output given by regression and an ANN model. Also, there exists a positive correlation between measured and predicted noise levels. The proposed ANFIS model can be utilized as a tool for traffic direction and planning of new roads in zones of similar land use pattern.

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ANALISIS KEBISINGAN PADA INSTITUSI PENDIDIKAN DI FRONTAGE ROAD SISI TIMUR JALAN A.YANI SURABAYA

Al-Ard Jurnal Teknik Lingkungan ◽

10.29080/alard.v3i2.331 ◽

2018 ◽

Vol 3 (2) ◽

pp. 70-77

Author(s):

Widya Nilandita ◽

Dyah Ratri Nurmaningsih ◽

Shinfi Wazna Auvaria

Keyword(s):

Noise Level ◽

Teaching And Learning ◽

Negative Impact ◽

Educational Institution ◽

Quality Standard ◽

Sound Level ◽

Educational Institutions ◽

Sound Level Meter ◽

Noise Levels ◽

Level Meter

Noise can occur anywhere, including at educational institutions. Noise research at educational institutions began to be studied a lot because of the negative impact on the teaching and learning process and disrupt the performance of teachers and students. Some studies show that schools or universities located on the edge of the road, show noise levels that exceed quality standards. This research was conducted at educational institutions located along the east Frontage Road Jl A.Yani Road, Surabaya, by measuring noise levels at 3 locations, in daylighting measurements with 4 measurement times (L1-L4). Data collection and processing was carried out by referring to the quality standard of KEPMENLH No. 48 of 1996. Data was measured using a sound level meter for 10 minutes for each measurement, with a reading every 5 seconds to obtain 120 data. Data processing results are compared with the standard noise level. The noise value at SD Margorejo I / 403 is 82.2 dB, UIN Sunan Ampel Surabaya is 79.76 dB, and SMK 3 Surabaya is 80.06 dB. The noise level value has exceeded the established quality standard, which has maximum of 55 dB for the educational intitutions area. The source of noise comes from the activities of motorized vehicles in and around educational institution that is quite crowded. Another cause of the high noise value is the train activities along the east frontage road Jl A.yani Surabaya, as well as the distance of the noise source with research location that relatively close. Keywords: noise, educational institution, sound level meter

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Traffic-Noise Assessment at Rush Hours in Quetta City

Journal of Applied and Emerging Sciences ◽

10.36785/buitems.jaes.353 ◽

2020 ◽

pp. 50-56

Keyword(s):

Health Care ◽

Noise Level ◽

Noise Exposure ◽

Traffic Noise ◽

Sound Level ◽

Mitigation Strategies ◽

Noise Levels ◽

Contributing Factors ◽

Community Noise ◽

Noise Assessment

Noise is an environmental stressor, which leads to various ailments due to the physiological and psychological stresses it creates. It is essential to understand and evaluate the contributing factors of environmental noise, especially in densely polluted areas near major roads, railways and airports, for public health policy and planning. Noise level measurement permits precise and scientific analysis of noise annoyance, and therefore, this study aimed to determine the average noise levels of Quetta city. Seventy-three (73) location’s equivalent noise levels (Leq) were measured at peak rush hours for three consecutive days. Selected areas for measurement included health care centres, educational centres, government offices, public places, residential and commercial areas. All the selected sites were located near to main roads, where the traffic noise was the most prominent noise source. Noise was measured through calibrated microprocessor sound level meter. The results were computed by taking the mean of the three readings. The results showed 74 dBA as average noise level of Quetta city. It has been found that 90% of the selected locations in Quetta city exceeded the 65dBA, while 10 % of the total locations ranged between 55 to 65 dBA. The average noise exposure of the Quetta city was greater than the permissible international noise standard. This study identified the main traffic hubs of Quetta city, which requires mitigation strategies by the policy makers specifically for Health care and Educational sectors. It also requires adequate updated plans for community noise survey and ordinance.

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