scholarly journals Influence of Honking on the Road Traffic Noise Generated at Urban Rotaries for Heterogeneous Traffic

2020 ◽  
Vol 24 (1) ◽  
pp. 23-42
Author(s):  
Kamineni Aditya ◽  
Venkaiah Chowdary
Keyword(s):  
Noise Level ◽  
Road Traffic ◽  
Noise Analysis ◽  
Traffic Noise ◽  
Heterogeneous Traffic ◽  
Road Traffic Noise ◽  
Good Precision ◽  
Heavy Vehicles ◽  
Noise Levels ◽  
Noise Data

AbstractThis paper presents a study conducted at major rotaries for quantifying the traffic noise levels by considering the vehicle volume and their respective honking as governing parameters for heterogeneous traffic. Traffic volume and traffic noise data was collected using a digital video camera and a class 1 sound level meter, respectively. The traffic noise data was analysed using noise tools for identifying the noise level variation. The data collected was subjected to statistical analysis for light, medium and heavy vehicles, and their contribution towards noise levels is proven to be effective with the forthright fact that, heavy vehicles and their corresponding honking were majorly affecting the equivalent noise level compared to other vehicular proportion. An equivalent noise level [LAeq (dB)] rise of 2 to 6 dB (A) is solely caused by heavy vehicles, which is an important observation to be considered for traffic noise analysis at the rotaries. Based on the obtained results from one of the rotaries, noise prediction model is developed for estimating the LAeq (dB), which is able to predict the noise levels with good precision when validated with the data collected at second rotary intersection for different vehicle volumes.

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).

scholarly journals An Empirical Model of Road Traffic Noise on Heterogeneous Traffic Situation

2018 ◽  
Vol 203 ◽  
pp. 03002
Author(s):  
Muralia Hustim ◽  
Isran M. Ramli
Keyword(s):  
Prediction Model ◽  
Empirical Model ◽  
Noise Level ◽  
Road Traffic ◽  
Traffic Noise ◽  
Empirical Relationship ◽  
Heterogeneous Traffic ◽  
Road Traffic Noise ◽  
Traffic Situation ◽  
The Road

The motorcycle domination on heterogeneous traffic situation in many cities in developing countries including Indonesia leads to the decreasing of environment qualities such noise pollution. Regarding the road traffic noise (RTN) pollution, this paper attempts to develop an empirical model for a RTN prediction model. The model based on a motorcycle unit as reference unit to consider flow rate of the road traffic which dominated by motorcycles. The study collected the RTN data such volume of each vehicle types, i.e., motorcycle; light vehicle; and high vehicle, and the noise level on the forty arterial roads in Makassar, Indonesia. The survey methods based on the traffic count method and the measurement noise level using a video camera and a sound level meter, respectively. We collected data during ten minutes of each one-hour period of each road. The empirical relationship models between the noise level and the traffic volume based on the motorcycle unit were developed using various types of regression models. The results showed that the polynomial model is more significant than the other models. We expected that the model provides a basic RTN prediction model in order to simulate some measures of the traffic management system in reducing the RTN level in Makassar City.

scholarly journals Traffic-related Noise at Roadside Schools: Assessment and Prediction in Urban Setting

2021 ◽  
Vol 22 (2) ◽  
pp. 178-189
Author(s):  
Mila Dirgawati ◽  
Gita Nur Apriani ◽  
Astien Arsten Asyari ◽  
R. Triyogo
Keyword(s):  
Noise Level ◽  
Road Traffic ◽  
Traffic Noise ◽  
Urban Setting ◽  
National Standard ◽  
Road Traffic Noise ◽  
Heavy Vehicles ◽  
The Road ◽  
Total Vehicle ◽  
Data Volume

ABSTRAK Kebisingan lalu lintas adalah salah satu ancaman bagi kesehatan masyarakat perkotaan. Paparan bising memberikan efek kesehatan jangka pendek dan panjang, dan efeknya berpotensi lebih buruk pada anak-anak yang belajar di sekolah pinggir jalan. Penelitian ini bertujuan untuk mengkarakterisasi kebisingan lalu lintas jalan di sekolah-sekolah yang terletak di jalan-jalan utama di Bandung, Indonesia serta memberikan rekomendasi mitigasi dan adaptasi untuk pengendalian kebisingan. Kebisingan lalu lintas diperoleh di dua sekolah pinggir jalan terletak di dua jalan utama (Jalan Suci dan Djuanda), beserta data volume dan komposisi lalu lintas, serta kecepatan kendaraan. Pengukuran dilakukan antara jam sekolah selama satu hari yang mewakili lokasi trotoar jalan, depan sekolah, dan halaman sekolah. Parameter tingkat kebisingan yang penting (Leq, L10, L50, L90) diukur, dan dilakukan analisis korelasi antara masing-masing parameter kebisingan. Model CoRTN digunakan untuk memprediksi kebisingan lalu lintas pada jarak tertentu dari jalan raya. Sepeda motor merupakan jenis kendaraan dominan secara berturut 79,1% dan 67,1% dari total volume kendaraan di ruas jalan Suci dan Djuanda. Kendaraan berat menyumbang <1%. Mayoritas kebisingan lalu lintas yang diukur sebagai Leq, L10, L50, L90 melebihi batas maksimum untuk pinggir jalan dan zona sekolah menurut standar internasional dan nasional <55 dBA). Model tersebut berkinerja lebih baik di ruas jalan Djuanda daripada Suci. Jumlah lokasi dan waktu pengukuran yang lebih banyak dapat memberikan penilaian paparan tingkat kebisingan lalu lintas yang lebih baik dengan menggunakan model CoRTN. Hasil penelitian ini diharapkan dapat menjadi masukan kebijakan berbasis pengetahuan bagi pemerintah kota dan lembaga untuk mengurangi dampak bising bagi anak didik. Kata kunci: kebisingan lalu lintas jalan, tingkat kebisingan, Model CoRTN   ABSTRACT Noise from road traffic is one of the most ubiquitous threats to the public health in urban setting. Its exposures have proven short-and long-term health effects. and potentially worse for vulnerable population such as children studying at roadside schools. This study aimed to characterize the road traffic noise at schools located at major roads in Bandung, Indonesia. Traffic noise were obtained at 2 roadside schools located at two major roads (Suci and Djuanda roads), along with data on traffic volume and composition, and vehicles speed. The measurement was conducted between school hours during one day-time only at locations representative of roadside, front of the schools, and schoolyard. Important noise level parameters such as Leq, L10, L50, L90 were recorded, and correlation analysis between each parameter was conducted. The CoRTN model was then applied to predict the traffic noise at particular distances from the road. Motorcycles were the predominant vehicle type on both road segments: 79.1% and 67.1% of the total vehicle volume on Suci on Djuanda segments, respectively.  Conversely, heavy vehicles accounted <1%. The majority of measured traffic noise determined as Leq, L10, L50, L90 exceeded the maximum limit for roadside and school zone set by the international and national standard (>55 dBA). The model performed better in Djuanda road segment than in Suci segment. More measurement locations and time could provide better assessment of exposure to traffic noise levels at roadside schools using the CoRTN model. Keywords: road traffic noise, noise level, CoRTN model

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

2019 ◽  
Vol 15 (2) ◽  
pp. 92-105
Author(s):  
Vilas K Patil ◽  
P.P. Nagarale
Keyword(s):  
Noise Level ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Vehicular Traffic ◽  
Noise Levels ◽  
Anfis Model ◽  
Neuro Fuzzy ◽  
Interface System

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.

Road Traffic Noise Levels at Different Types of Residential Areas in Nibong Tebal, Penang

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Herni Halim ◽  
◽  
Nur Fatin Najiyah Hamid ◽  
Mohamad Firdaus Mahamad Yusob ◽  
Nur Atiqah Mohamad Nor ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Residential Areas ◽  
Noise Levels ◽  
Different Types

scholarly journals Road Noise Levels in Urban Environment Compared to Specification Limits. The Case of the City of Larissa, Greece

2020 ◽  
Author(s):  
Emmanouil A. Papadimitriou ◽  
Grigorios P. Papageorgiou ◽  
Nikolaos Alamanis ◽  
Theodosia-Niki Diakosavva
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Levels ◽  
Road Noise ◽  
Greek City ◽  
Limit Values ◽  
High Noise ◽  
Specification Limits ◽  
The City

Greece, as well as other developed countries, is facing the growing problem of road traffic noise. It stands for a severe problem in the urban areas of the country, including the city of Larissa. The root cause is the huge increase in traffic volume and the lack of adequate urban infrastructure planning. Estimation of the level of road traffic noise is usually conducted using acoustic meters. It is widely accepted that most of the cities’ population is exposed to high noise levels due to controversial traffic capacity. Moreover, high noise levels are strongly related to phycological and neurological diseases. Thus, it is of utmost importance, the road noise levels to be lower than dictated by relevant specification limits. To develop better noise-environment policies, relative research should focus on the measurement of in-situ noise levels, so as appropriate for each case corrective measures to be taken. The present paper examines the noise levels of a center road of the 5th Greek city, in terms of population, compared to worldwide adopted noise specification limits. The clear aim stands for finding the percentage of road noise that exceeds commonly accepted threshold values, namely limit values of European Union and World Health Organization. The results of this research strongly indicate that measured noise values override upper limit values in a certain extent.

Traffic noise correlates with calling time but not spatial distribution in the threatened poison frog Andinobates bombetes

Behaviour ◽  
2013 ◽  
Vol 150 (6) ◽  
pp. 569-584 ◽  
Author(s):  
Fernando Vargas-Salinas ◽  
Adolfo Amézquita
Keyword(s):  
Spatial Distribution ◽  
Noise Level ◽  
Road Traffic ◽  
Heavy Traffic ◽  
Traffic Noise ◽  
Anthropogenic Noise ◽  
Road Traffic Noise ◽  
Agricultural Field ◽  
Poison Frog ◽  
Forest Remnant

Acoustically communicating species have evolved adaptations that allow them to transmit information and overcome signal masking where their habitat is disturbed by anthropogenic noise. To investigate whether calling behaviour or spatial distribution is related to road traffic noise we studied the poison frog Andinobates bombetes in a mid-elevation forest remnant that has been exposed to heavy traffic noise throughout more than four decades. To test whether frogs avoid call during noise episodes generated by passing trucks, we compared background noise levels between calling and non-calling times. To test whether traffic noise is correlated with frogs spatial distribution, we measured frog abundance, ambient noise, and environmental covariates throughout a set of 24 sampling plots between 15 and 300 m from two forest edges, one bordered by the road and another one by an agricultural field. Frogs called more often when traffic noise level was lower. Frogs abundance was only marginally correlated with distance to noisy edges but was predictable from the abundance of bromeliad tanks, an alleged limiting resource for their reproduction. Apparently, to avoid calling during episodes with higher noise level allowed frogs to reduce the detrimental masking effects of anthropogenic noise; if so, it would explain why frog distribution is poorly correlated with distance to the noisy road.

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 STUDY ON EFFECTIVE NOISE BARRIER AT SENIOR HIGH SCHOOL (SMAN 02) CIBINONG

2019 ◽  
Vol 2 (2) ◽  
pp. 181
Author(s):  
Aulia Ramandha ◽  
Wisnu Eka Yulyanto ◽  
Sandra Madonna
Keyword(s):  
High School ◽  
Insertion Loss ◽  
Noise Level ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Type Ii ◽  
Noise Barrier ◽  
Barrier Type ◽  
The Difference

<strong>Aim:</strong> The aim of this study is to design noise barrier shapes and to investigate its effectiveness in reducing traffic noise at one public school in Indonesia. <strong>Methodology and Results:</strong> Two types of barriers were designed on a laboratory scale using plywood materials and the noise level was measured using Noise Analyzer Briiel and Kjaer Type 2250. Noise reduction was analyzed by using the Insertion Loss method based on the difference of the noise level before and after implementing the barrier. The results show that the barrier Type II with a length of 200 cm, a receiver height of 30 cm, and a curved shape of 45° angle (Type L) is more effective in reducing the noise than the other variation of barrier shape and length. Barrier Type L (Type II) can reduce the noise at high frequency between 1–8 kHz with an Insertion Loss value of 6.9–27.9 dB. <strong>Conclusion, significance and impact study:</strong> The noise barrier Type II, with specifications of 20 m length, 3 m height, and barrier material of reinforced concrete, is recommended to be used at the high school to reduce the road traffic noise.

scholarly journals The Impact of Thin Asphalt Layers as a Road Traffic Noise Intervention in an Urban Environment

2021 ◽  
Vol 13 (22) ◽  
pp. 12561
Author(s):  
Ablenya Grangeiro de Barros ◽  
Jarl K. Kampen ◽  
Cedric Vuye
Keyword(s):  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Low Noise ◽  
Urban Environments ◽  
Comfort Level ◽  
Road Traffic Noise ◽  
Acoustic Measurements ◽  
Noise Levels ◽  
The Impact

Low-noise thin asphalt layers (TALs) are a feasible solution to mitigate road traffic noise in urban environments. Nevertheless, the impacts of this type of noise intervention are reported mostly regarding noise levels, while non-acoustic aspects influencing the population perception are still little-known. This study investigates the implementation of TALs in two streets of Antwerp, Belgium. The effectiveness of the intervention was measured via noise modelling and acoustic measurements of road traffic noise. A reduction of 2.8 dB in noise exposure was observed in Lden and Lnight, while SPB measurements showed decreases up to 5.2 dB on the roadside. The subjective impacts of the TALs were evaluated via self-administered surveys and compared to results from control streets. The annoyance indicators were positively impacted by the TALs implementation, resulting in annoyance levels similar or lower than in the control streets. The TALs did not impact the reported physical complaints, sleep quality, and comfort level to perform activities.

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