scholarly journals INVESTIGATION AND EVALUATION OF SPEED TABLE INFLUENCE TO TRAFFIC NOISE PROPAGATION IN RESIDENTIAL AREA / GREITĮ MAŽINANČIŲ KALNELIŲ ĮTAKOS TRIUKŠMO SKLIDIMUI GYVENAMAJAME RAJONE TYRIMAI IR VERTINIMAS

2016 ◽  
Vol 8 (4) ◽  
pp. 425-430
Author(s):  
Tomas Astrauskas ◽  
Raimondas Grubliauskas
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Residential Area ◽  
Sound Level ◽  
Surface Irregularity ◽  
Apartment Building ◽  
Noise Propagation ◽  
Recorded Sound ◽  
Noise Measurements ◽  
Reduce Risk

Speed table is an artificial road (street) surface irregularity, which is used to reduce speed of road traffic or maintain allowed speed limit in road (street) section. These measures are used to reduce risk for pedestrians by reducing speed of passing vehicles. Before speed table, vehicles usually reduce speed, after passing it, vehicles usually increase their speed and this could increase traffic noise. Measurements were carried out during the day time in L. Asanavičiūtės Street 5, Vilnius. Measurements were divided into two parts, inside the residential apartment building and in its environment. Near the speed table recorded sound level was 69 dB, inside the residential apartment building noise level was approximately 41 dB. In this paper speed table influence on traffic noise propagation in residential area is investigated. Greičio mažinimo priemonė – dirbtinis kelio (gatvės) dangos nelygumas, skirtas transporto priemonių greičiui sumažinti arba leistinam greičiui palaikyti kelio (gatvės) ruože. Šių įrenginių paskirtis yra sumažinti pavojų pėstiesiems mažinant važiuojančių automobilių greitį. Automobiliai prieš greičio mažinimo priemonę greitį sumažina, pervažiavę ją, dažniausiai vėl didina greitį, todėl transporto keliamas triukšmas gali padidėti. Tyrimai buvo atlikti dienos metu L. Asanavičiūtės g. 5, Vilniuje. Tyrimai buvo išskirti į dvi dalis: tyrimai gyvenamojo pastato viduje ir tyrimai gyvenamojo pastato aplinkoje. Triukšmo lygis prie vertikaliosios trapecinės greičio mažinimo priemonės buvo 69 dB, tiriamojo gyvenamojo pastato viduje apie 41 dB. Šiame straipsnyje yra nagrinėjama greičio vertikaliosios trapecinės greičio mažinimo priemonės įtaka transporto keliamo triukšmo sklaidai į gyvenamąją aplinką.

Housing Type and Tenure Effects on Reactions to Road Traffic Noise

1978 ◽  
Vol 10 (12) ◽  
pp. 1377-1386 ◽  
Author(s):  
S M Taylor ◽  
S Birnie ◽  
F L Hall
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Residential Area ◽  
Road Traffic Noise ◽  
Questionnaire Data ◽  
Residential Areas ◽  
Housing Type ◽  
Southern Ontario ◽  
Different Types ◽  
Noise Measurements

The reactions of different residents to the same level of noise have been assumed to vary depending upon their type of housing and tenure status. However, no empirical evidence has been presented to support this assumption. The analysis described in this paper tests the separate and joint effects of housing type and tenure on various reactions to road traffic noise, with the use of questionnaire data and noise measurements collected at residential sites near to major highways in the Toronto region of southern Ontario. The results show that neither housing type nor tenure has any consistent effect on residents' reactions to road traffic noise. The working assumption in the literature is therefore not supported. Two important conclusions follow from this: first, that no one type of housing is clearly more appropriate in residential areas near to major highways; and second, that a policy of setting different noise standards for different types of residential area cannot be supported.

Acoustic Modeling of Meteorological Effects on Roadway Noise

2021 ◽  
pp. 036119812199458
Author(s):  
Roger L. Wayson ◽  
Kenneth Kaliski
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Model Development ◽  
The United States ◽  
Noise Model ◽  
Road Traffic Noise ◽  
Atmospheric Conditions ◽  
Noise Propagation ◽  
Transportation Research ◽  
Meteorological Effects

Modeling road traffic noise levels without including the effects of meteorology may lead to substantial errors. In the United States, the required model is the Traffic Noise Model which does not include meteorology effects caused by refraction. In response, the Transportation Research Board sponsored NCHRP 25-52, Meteorological Effects on Roadway Noise, to collect highway noise data under different meteorological conditions, document the meteorological effects on roadway noise propagation under different atmospheric conditions, develop best practices, and provide guidance on how to: (a) quantify meteorological effects on roadway noise propagation; and (b) explain those effects to the public. The completed project at 16 barrier and no-barrier measurement positions adjacent to Interstate 17 (I-17) in Phoenix, Arizona provided the database which has enabled substantial developments in modeling. This report provides more recent information on the model development that can be directly applied by the noise analyst to include meteorological effects from simple look-up tables to more precise use of statistical equations.

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.

Data Collection and Modeling Results to Permit Estimation of Meteorological Effects on Roadway Noise

2019 ◽  
Vol 2673 (11) ◽  
pp. 243-253
Author(s):  
Roger L. Wayson ◽  
Kenneth Kaliski ◽  
John M. MacDonald ◽  
Erik M. Salomons ◽  
Darlene D. Reiter
Keyword(s):  
United States ◽  
Data Collection ◽  
Road Traffic ◽  
Meteorological Data ◽  
Traffic Noise ◽  
The United States ◽  
Road Traffic Noise ◽  
Atmospheric Conditions ◽  
Noise Propagation ◽  
Meteorological Effects

The estimation of absolute road traffic noise levels without including the effects of meteorology is thought to be a major source of error in the estimation process commonly used in the United States. In response, the Transportation Research Board-sponsored NCHRP 25-52, Meteorological Effects on Roadway Noise, to collect highway noise data under different meteorological conditions, document the meteorological effects on roadway noise propagation under different atmospheric conditions, develop best practices, and provide guidance on how to (a) quantify meteorological effects on roadway noise propagation and (b) explain those effects to the public. The completed project involved collecting and analyzing 35,000 min of sound and meteorological data at 16 barrier and no-barrier measurement positions adjacent to Interstate 17 in Phoenix, Arizona. This report provides information on the data collection and the modeling recommendations. The database assembled is thought to be among the best available in the United States to permit analysis of meteorological effects on roadway noise. The study recommendations will advance the methodology for estimating the meteorological effects on roadway noise in the United States.

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 Land Use Regression Modeling of Outdoor Noise Exposure in Informal Settlements in Western Cape, South Africa

2017 ◽  
Author(s):  
Chloé Sieber ◽  
Martina S. Ragettli ◽  
Mark Brink ◽  
Olaniyan Toyib ◽  
Roslyn Baatjies ◽  
...  
Keyword(s):  
South Africa ◽  
Land Use ◽  
Noise Exposure ◽  
Road Traffic ◽  
Model Performance ◽  
Sound Level ◽  
Western Cape ◽  
Land Use Regression ◽  
Middle Income ◽  
Noise Measurements

In developing countries, noise exposure and its negative health effects have been little explored. The present study aimed to assess the noise exposure situation in adults living in informal settings in the Western Cape Province, South Africa. We conducted continuous one-week outdoor noise measurements at 134 homes in four different areas. These data were used to develop a land use regression (LUR) model to predict A-weighted day-evening-night equivalent sound level (Lden) from geographic information system (GIS) variables. Mean noise exposure during day (6:00-18:00) was 60.0 A-weighted decibels (dB(A)) (interquartile range 56.9-62.9 dB(A)), during night (22:00-6:00) 52.9 dB(A) (49.3-55.8 dB(A)) and average Lden was 63.0 dB(A) (60.1-66.5 dB(A)). Main predictors of the LUR model were related to road traffic and household density. Model performance was low (adjusted R2=0.130) suggesting that other influences than represented in the geographic predictors are relevant for noise exposure. This is one of the few studies on the noise exposure situation in low- and middle-income countries. It demonstrates that noise exposure levels are high in these settings.

Acoustic Prediction Modeling and Sound Mapping of public transport users' exposure at a bus stop.

2021 ◽  
Vol 263 (2) ◽  
pp. 4058-4069
Author(s):  
Dayane Cristina Lima Estercio ◽  
Paulo Fernando Soares
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Sound Level ◽  
Road Traffic Noise ◽  
High Frequencies ◽  
Reference Models ◽  
The Road ◽  
Bus Stop ◽  
Specular Reflections ◽  
The City

The objective of this research is to develop a mathematical model to predict the road traffic noise level at the bus stop, to assess the level of noise that users of these urban facilities are exposed daily. To help assess the exposure and the environmental impact, sound mapping will be performed using the IMMI software. In the model, the calculation of direct paths and specular reflections and diffuse was adopted. The study was applied in three sections in the city of Maringá, Brazil. At each point, the user was simulated standing and sitting. The sound source was positioned on the axis of each strip, every five meters. In total, 5124 readings of source positions were evaluated in 84 measured points. For the validation, the Anderson-Kurze, Kang, Yang and Zhang, Bistafa and Naish model were applied, and then the t-Student test were applied. The results showed a correspondence between the developed model, the data of the measurements and the reference models in the range of 25 Hz to 10000 Hz, there was a greater variance between the models applied in the high frequencies. It is concluded that the model was able to estimate the sound level of the stretches evaluated.

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.

scholarly journals Road Traffic Noise, Air Pollutants, and the Prevalence of Cardiovascular Disease in Taichung, Taiwan

2018 ◽  
Vol 15 (8) ◽  
pp. 1707 ◽  
Author(s):  
Wei-Ting Yang ◽  
Ven-Shing Wang ◽  
Li-Te Chang ◽  
Kai-Jen Chuang ◽  
Hsiao-Chi Chuang ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Air Pollutants ◽  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Cross Sectional Study ◽  
Road Traffic Noise ◽  
Cross Sectional ◽  
Exposure Models ◽  
Noise Measurements

Background: A few studies have investigated the interaction between exposure to road traffic noise, air pollutants, and cardiovascular disease (CVD), but their results were inconsistent. This cross-sectional study investigated whether road traffic noise, particulate matter with dynamic diameter less than 10 μm (PM10) and nitrogen dioxides (NO2) exposure were independently associated with the risk of CVD. Methods: We recruited 663 volunteers who had been living near main roads for more than three years in 2008. Information concerning the subjects’ home addresses was combined with noise measurements at 42 locations and annual average of air pollutants from 2 monitoring stations to estimate individual exposure. Multivariate logistic regression was used to calculate the odds ratio (OR) for diagnosed CVD, adjusting for potential confounders and co-exposure. Results: Only per 5-dBA increase in road traffic noise was significantly associated with elevated risk of CVD (adjusted OR = 2.23, 95% confidence interval (CI) = 1.26–3.93) in the single-exposure models. Such association was aggravated (adjusted OR = 2.96, 95% CI = 1.41–6.23) after adjustment for total traffic and PM10 or NO2 in the two-exposure models. Conclusions: Road traffic noise exposure may be associated with the increasing prevalence of CVD. No synergistic association was observed between co-exposure to noise and air pollutants and the risk of CVD.

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