scholarly journals INVESTIGATION AND MODELING OF TRANSPORT NOISE DEPENDENCE ON TRAFFIC SPEED AND IMPACT ON POPULATION ANNOYANCE

2022 ◽  
Vol 30 (1) ◽  
pp. 22-29
Author(s):  
Tomas Vilniškis ◽  
Andrej Naimušin ◽  
Tomas Januševičius
Keyword(s):  
Sleep Disorders ◽  
Health Effects ◽  
Noise Level ◽  
Negative Impact ◽  
Traffic Noise ◽  
Cardiovascular Effects ◽  
Vehicle Speed ◽  
Traffic Speed

Transport noise is a serious problem in cities and has a negative impact on both health and economics. In addition to the aforementioned unnoticed health effects, traffic noise has also been identified as one of the leading causes of sleep disorders, annoyance and negative cardiovascular effects. This research consists of three parts: part one involves onsite measurements of traffic noise in Trakai town; part two simulates traffic noise at different average vehicle speeds; part three assesses the number of people affected by traffic noise. The carried-out simulation has demonstrated that the noise level changes very slightly at different average vehicle speeds. It should be noticed that more noise is generated at average vehicle speed of 30 km/h rather than at 50 km/h. The assessment of the annoyance level has disclosed that an average vehicle speed of 30 km/h should cause the highest level of annoyance (highest – 26.8%).

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.

scholarly journals PASSENGER CAR SPEED ASSESSMENT RELATIONSHIP TO THE NOISE CAUSED

ASTONJADRO ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 41
Author(s):  
Syaiful Syaiful ◽  
Rendy Andana
Keyword(s):  
Linear Regression ◽  
Noise Level ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Vehicle Speed ◽  
Toll Roads ◽  
Traffic Data ◽  
Heavy Vehicles ◽  
Heavy Industry ◽  
Audio Technology

<p>Noise is defined as a human unwanted sound. The main sources of noise on toll roads are heavy vehicles and light vehicles. Noise pollution is often interpreted as unwanted sound or wrong sound at the wrong time. as heavy industry grows, traffic crowds, transportation facilities, and excessive use of audio technology. In addition there is generally noise strongly related to annoyance. Noise is everywhere and disturbance is one of the most common reactions to noise.. Speed is the size of a vector that shows how fast objects move. This research aims to find out the level of traffic noise and its distribution in front of SDN Cimahpar 01. The research method uses multiple linear analysis with the SPSS program by entering traffic data, vehicle speed and noise generated. The results were obtained that in SDN Cimahpar 01 area with the highest linear regression value between speed and noise that arises is 98% with linear regression equation y=52,390+0.298x1+0.229x2+0.245x3+0.205x4. Based on the similarity, the noise level value generated by the speed of the vehicle is 52.39 dBA with the provision of no increase or decrease in vehicle speed, this noise level is very strong because above the raw value of the activity noise level set by the Decree of the Minister of Environment No. 48 of 1996 which is 80 dBA.</p>

scholarly journals Analisa Pengaruh Kecepatan Kendaraan terhadap Tingkat Kebisingan yang Terjadi pada Ruas Jalan dengan Perkerasan Kaku

2019 ◽  
Vol 6 (1) ◽  
pp. 46
Author(s):  
Syahlendra Syahrul ◽  
Aisyah Zakaria
Keyword(s):  
Noise Level ◽  
Traffic Noise ◽  
Road Surface ◽  
Motor Vehicles ◽  
Vehicle Speed ◽  
Noise Levels ◽  
Rigid Pavement ◽  
The Road ◽  
On The Road ◽  
The City

Along with the increasing needs of people inMakassar city for the mode of transportation, the number of thegrowth of motor vehicles that operate on the road becomes largerthan the growth of the number of roads built. This has causedsome problems in the transportation sector. In addition tocongestion problems, problems arise from road surface damagedue to increasing traffic loads that must be borne by the roadsurface. To anticipate this, some strategic streets in the city ofMakassar then designed by using a rigid pavement that hasgreater strength in carrying the burden. Another problem thatarises from the growing number of motor vehicles that operateon the road is greater than the growth of the number of roadsbuilt is the higher levels of noise pollution or traffic noise. Noise issourced from the sound of a vehicle engine and the frictionbetween the vehicle tire and the road surface. So that roads withrigid surface pavement surfaces that have a rougher surfacetexture, potentially lead to higher noise levels. This study aims todetermine how much noise levels that occur in roads that userigid pavement in the city of Makassar. The road segments, suchas Jl. Abd. Dg. Sirua, Jl. Batua Raya and Jl. Adhyaksa. The toolused to measure traffic noise is the Sound Level Meter (SLM).The survey was conducted for 1 day for each of the roadsegments reviewed. The data taken are the level data of flatnessof road surface, vehicle speed data and traffic noise level data.Data processing is done by analyzing the relationship between thefactors that affect the noise with the noise level that occurs on theroad with rigid pavement. The results of this study are expectedto provide information about how big the effect of vehicle speedon the noise level that arises on the road with rigid pavement.Keyword--Noise; speed of vehicle; Rigid Pavement

Comprehensive Pricing Model of Urban Traffic Air Pollution Based on Bi-Level Programming

2012 ◽  
Vol 253-255 ◽  
pp. 1913-1917
Author(s):  
Ze Bin Zhao
Keyword(s):  
Air Pollution ◽  
Negative Impact ◽  
Urban Traffic ◽  
Vehicle Speed ◽  
Pricing Model ◽  
The Sustainable Development ◽  
Transport Services ◽  
Relationship Model ◽  
The Relationship

In order to reduce the negative impact of urban traffic air pollution, this paper firstly analyzes the relationship between urban traffic air pollution and vehicle speed, after providing the relationship model, the paper establishes a comprehensive pricing model of urban traffic air pollution based on bi-level programming, the model considers the traffic air pollution pricing, and includes the factors of congestion pricing, bus fee, pricing revenue redistribution on improvement of public transport services and the expansion of road capacity. The case study shows that the implementation of comprehensive pricing of urban traffic air pollution can reduce traffic pollution and unreasonable traffic flow, which is conducive to the sustainable development of the city.

scholarly journals Sleep Disorders in Adults with Down Syndrome

2021 ◽  
Vol 10 (14) ◽  
pp. 3012
Author(s):  
Sandra Giménez ◽  
Miren Altuna ◽  
Esther Blessing ◽  
Ricardo M. Osorio ◽  
Juan Fortea
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Down Syndrome ◽  
Sleep Disorders ◽  
Negative Impact ◽  
Current Knowledge ◽  
Sleep Disruption ◽  
Physical And Mental Health ◽  
Future Directions

Sleep disorders, despite being very frequent in adults with Down syndrome (DS), are often overlooked due to a lack of awareness by families and physicians and the absence of specific clinical sleep guidelines. Untreated sleep disorders have a negative impact on physical and mental health, behavior, and cognitive performance. Growing evidence suggests that sleep disruption may also accelerate the progression to symptomatic Alzheimer’s disease (AD) in this population. It is therefore imperative to have a better understanding of the sleep disorders associated with DS in order to treat them, and in doing so, improve cognition and quality of life, and prevent related comorbidities. This paper reviews the current knowledge of the main sleep disorders in adults with DS, including evaluation and management. It highlights the existing gaps in knowledge and discusses future directions to achieve earlier diagnosis and better treatment of sleep disorders most frequently found in this population.

scholarly journals MODELING OF THE SPREAD OF MOTOR TRANSPORT NOISE IN ŠIAULIAI CITY / AUTOTRANSPORTO TRIUKŠMO SKLAIDOS ŠIAULIUOSE MODELIAVIMAS / МОДЕЛИРОВАНИЕ РАССЕЯНИЯ ТРАНСПОРТНОГО ШУМА В ГОРОДЕ ШЯУЛЯЙ

2011 ◽  
Vol 19 (1) ◽  
pp. 62-70 ◽  
Author(s):  
Leonas Paulauskas ◽  
Robertas Klimas
Keyword(s):  
Personal Computer ◽  
Noise Level ◽  
Negative Impact ◽  
Noise Measurement ◽  
Motor Transport ◽  
City Environment ◽  
Measurement Results ◽  
The Difference ◽  
Environment Noise ◽  
Level Detector

Rapidly growing urbanization causes the increase of noise level of various sources, that have a negative impact upon people's health. The contribution of noise caused by motor transport in city environment composes up to 80% of general impact of all the sources. The article presents the results of modeling of the spread of motor transport noise of Šiauliai city, maps of motor transport noise, recommendations for management of environment noise. MapNoise programme module, adapted to work in the ArcGIS Desktop 9.1 environment, was used for modeling motor transport noise. Noise measurement researches have been carried out using digital noise isolator Nor121, completed with digital level detector. NorXfar software was used to send the data to personal computer. Having evaluated the validity of modeling results it has been determined that the difference between the night noise modeling and measurement results does not exceed 2.2%, and varies from 0.5dB(A) to 1.1 dB(A). The obtained results indicate that 7.2% of the apartments of all city residents are influenced by the LDEN noise that exceeds the permitted noise level (LDEN >65 dB(A)) and 31.2% of the apartments of the residents are influenced by night noise that exceeds the permitted noise level (LN > 55 dB(A)). Santrauka Sparčiai vykstant urbanizacijos procesui, kinta įvairių šaltinių keliamo triukšmo lygis, didėja neigiama įtaka žmonių sveikatai. Miestų aplinkoje iki 80 % visuminio visų triukšmo šaltinių poveikio tenka autotransporto keliamam triukšmui.Straipsnyje pateikta autotransporto triukšmo sklaidos Šiauliuose modeliavimo rezultatai, autotransporto triukšmo žemėlapiai, aplinkos triukšmo valdymo rekomendacijos. Autotransporto triukšmui modeliuoti naudotas MapNoise programinismodulis, pritaikytas darbui ArcGIS Desktop 9.1 aplinkoje. Iš rezultatų matyti, kad 7,2% visų miesto gyventojų būstų yra veikiami paros triukšmo, viršijančio leidžiamąjį triukšmo lygį (LDVN > 65 dB(A)), ir 31,2% gyventojų būstų veikiami nakties triukšmo, viršijančio leidžiamąjį triukšmo lygį (LN > 55 dB(A)). Įvertinus modeliavimo rezultatų patikimumą nustatyta, kad paros ir nakties triukšmo modeliavimo ir matavimo rezultatų neatitiktis neviršija 2,2 % ir svyruoja nuo 0,5dB(A) iki 1,1dB(A). Резюме При быстром росте урбанизации увеличивается уровень шума, создаваемого разными источниками и отрицательно влияющего на здоровье населения. Шум от автотранспорта в городах составляет около 80% от всех источников шума. В статье представлены результаты моделирования рассеяния шума от автотранспорта в городеШяуляй, карты автотранспортного шума, рекомендации по управлению шумом в окружающей среде. Приизмерении шума был использован числовой анализатор шума № 121, укомплектованный с числовым детекторомуровня RMS. Для передачи данных в персональный компьютер использована программа NorXfer. Для моделирования автотранспортного шума использован программный модуль MapNoise, приспособленный дляработы в среде ArcGIS desktop 9.1. При анализе достоверности результатов моделирования было установлено, чтоих отличие от результатов измерения шума в течение суток и ночное время не превышает 2,2% и колеблется от0,5дБ(A) до 1,1дБ(A). Результаты исследования свидетельствуют о том, что 7,2% жилых помещений городаподвергаются суточному шуму, уровень которого превышает допустимый (LDVN > 65 дБ(A)) и 31,2% жилыхпомещенийгородаподвергаютсяшумувночноевремя,уровень которогопревышаетдопустимый (LN > 55дБ(A)).

INFLUENCE OF TRUCK TRAFFIC ON ACOUSTIC POLLUTION IN KAUNAS DISTRICTS CROSSED BY HIGHWAYS/KROVININIO AUTOTRANSPORTO ĮTAKA AKUSTINEI TARŠAI RESPUBLIKINĖS REIKŠMĖS MAGISTRALIŲ KERTAMUOSE KAUNO MIKRORAJONUOSE/ ВЛИЯНИЕ ГРУЗОВОГО АВТОТРАНСПОРТА НА АКУСТИЧЕСКОЕ ЗАГРЯЗНЕНИЕ В МИКРОРАЙОНАX ГОРОДА KАУНАСА С ТРАССАМИ ГОСУДАРСТВЕННОГО ЗНАЧЕНИЯ

2009 ◽  
Vol 17 (4) ◽  
pp. 198-204 ◽  
Author(s):  
Regina Gražulevičienė ◽  
Inga Bendokienė
Keyword(s):  
Data Analysis ◽  
Traffic Flow ◽  
Noise Level ◽  
Traffic Noise ◽  
Heavy Vehicles ◽  
Truck Traffic ◽  
Statistical Software ◽  
Study Results ◽  
Noise Measurements ◽  
Main Streets

The aim of the study was to assess the influence of truck traffic on acoustic pollution in two Kaunas districts crossed by highways‐ Eiguliai and Šilainiai. Composition of traffic flow and noise measurements were conducted near the main streets and national highways that cross the districts. GIS and statistical software SPSS 12.01 were used for the data analysis. The study results showed that mean noise level near the main streets was 70 dB(A) in the daytime,‐ 68.6 dB(A) in the evening and at night it was 61.1 dB(A) in Eiguliai, and in Šilainiai it was 67 dB(A), 65 dB(A) and 58 dB(A), correspondingly. On the highways, crossing the districts, heavy vehicles compose about 3 times higher part of total traffic flow during the day and about 2 times in the evening compared to other main streets. The noise level depended on the traffic flow and correlation coefficient fluctuated from 0.77 to 0.85. The modelling of traffic flow showed, that the increase of trucks proportion by 2 percent would increase the traffic noise by 1.1 dB(A) in the streets with traffic flow of 300 veh./hour or more, and by 1.8 dB(A) with traffic flow of 200 veh./hour or less. Our findings suggest that the influence of heavy vehicles on acoustic pollution is higher in the districts with lower traffic flow. Santrauka Tyrimo tikslas – nustatyti krovininio autotransporto įtaką akustinei taršai Kauno mikrorajonuose, kuriuos kerta respublikinės reikšmės magistralės – Islandijos plentas ir vakarinis lankstas. Aplinkos triukšmo lygis ir transporto srautų intensyvumas Eigulių ir Šilainių seniūnijoje buvo matuotas 34 taškuose – dieną, vakare ir naktį. Duomenims apdoroti taikyta geografinių informacinių (GIS) sistemų technologijos, SPSS 12.0.1 ir Statistica 15 statistinės analizės paketai. Tyrimų rezultatai: vidutinis ekvivalentinis triukšmo lygis Eigulių seniūnijoje dieną prie pagrindinių gatvių siekė 70 dBA, vakare – 68,6 dBA, o naktį – 61,1 dBA ir iš esmės nesiskyrė nuo Šilainių seniūnijos, atitinkamai 67 dBA, 65 dBA ir 58 dBA. Magistraliniuose keliuose, kertančiuose Eigulių ir Šilainių seniūnijas, vidutinis transporto srautų intensyvumas dieną ir vakare buvo 5 kartus, naktį 6 kartus didesnis nei vidutinis srautų intensyvumas pagrindinėse gatvėse tuo pačiu metu, o krovininio autotransporto dalis dieną 3 kartus, o vakare 2 kartus viršijo vidutinius pagrindinių gatvių srautus. Nustatyta sąsaja tarp transporto srautų intensyvumo ir triukšmo lygio: Eigulių seniūnijos dienos koreliacijos koeficientas buvo 0,85, vakaro ir nakties – 0,83, o Šilainių seniūnijos – atitinkamai 0,78, 0,77 ir 0,80. Transporto srautų sudėties modeliavimo duomenimis, padidėjus krovininio transporto proporcijai 2 %, gatvėse, kuriose transporto srautas didesnis nei 300 aut./val., triukšmo lygis padidėtų 1,1 dBA, o kur transporto srautas mažesnis nei 200 aut./val., triukšmo lygis padidėtų 1,8 dBA (koreliacijos koeficientas – 0,63). Krovininio transporto įtaka akustinei taršai didesnė mikrorajonuose, kuriuose transporto srautai nedideli. Резюме Целью данной работы было изучить влияние грузового автотранспорта на акустическое загрязнение в микрорайонах города Каунаса, которые пересекают трассы государственного значения. Это шоссе Исландиос и объезд Вакаринис. Состав транспортного потока определялся и уровень шума измерялся около главных улиц микрорайонов. Результаты исследования показали, что средний уровень шума днем был 70 dBA, вечером – 68,6 dBA, ночью – 61,1 dBA. На трассах государственного значения, пересекающих микрорайоны, по сравнению с другими улицами потоки грузовых автомобилей были в 3 раза больше днем и 2 раза больше вечером. Установлена зaвисимость между величиной транспортного потока и шума (r = 0,77–0,85). Моделирование состава транспортного потока показало, что при увеличении на улицах грузового транспорта на 2% с 300 авт./час и больше шум увеличивается на 1,1 dBA, а при количестве грузового транспорта, составляющем 200 авт./час и меньше, шум возрастает на 1,8 dBA. Влияние грузового автотранспорта на акустическое загрязнение больше в микрорайонах с небольшим транспортным потоком.

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