Assessment of honking impact on traffic noise in urban traffic environment of Nagpur, India

Vijay, Ritesh; Sharma, Asheesh; Chakrabarti, Tapan; Gupta, Rajesh

doi:10.1186/s40201-015-0164-4

Cited by 62 publications

(30 citation statements)

References 17 publications

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“…The peak noise level is manageable to some extent because it is almost behavioural and originates mainly due to honking, sudden acceleration and deceleration of vehicles. Vijay et al reported that no honking may reduce the traffic noise level by 2 to 5 dB(A) at the microenvironment [18]. Significantly L 50 , the median noise level had ambiguous relationship with both background and peak noise component but the degree of linearity was higher with the background noise component.…”

Section: Resultsmentioning

confidence: 99%

“…Most of the Indian cities and towns like Visakhapatnam, Kolhapur, Asansole and Balasore have also been facing serious traffic noise pollution in last few decades due to substantial growth of new vehicles, low turnover of old vehicles, inadequate road network and urbanization [13–16]. Assessment of traffic noise level is difficult in Indian cities due to the heterogeneity in traffic and environmental conditions e.g., mixed vehicle types, congestion, road conditions, frequent honking and lack of traffic sense [17, 18]. Therefore, it is important to consider such diverse factors in monitoring and assessment of traffic noise level in the Indian context.…”

Section: Introductionmentioning

confidence: 99%

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Critical assessment of day time traffic noise level at curbside open-air microenvironment of Kolkata City, India

Chowdhury

Debsarkar

Chakrabarty

2015

J Environ Health Sci Engineer

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BackgroundThe objective of the research work is to assess day time traffic noise level at curbside open-air microenvironment of Kolkata city, India under heterogeneous environmental conditions.ResultsPrevailing traffic noise level in terms of A-weighted equivalent noise level (Leq) at the microenvironment was in excess of 12.6 ± 2.1 dB(A) from the day time standard of 65 dB(A) for commercial area recommended by the Central Pollution Control Board (CPCB) of India. Noise Climate and Traffic Noise Index of the microenvironment were accounted for 13 ± 1.8 dB(A) and 88.8 ± 6.1 dB(A) respectively. A correlation analysis explored that prevailing traffic noise level of the microenvironment had weak negative (−0.21; p < 0.01) and very weak positive (0.19; p < 0.01) correlation with air temperature and relative humidity. A Varimax rotated principal component analysis explored that motorized traffic volume had moderate positive loading with background noise component (L90, L95, L99) and prevailing traffic noise level had very strong positive loading with peak noise component (L1, L5, L10). Background and peak noise component cumulatively explained 80.98 % of variance in the data set.ConclusionsTraffic noise level at curbside open-air microenvironment of Kolkata City was higher than the standard recommended by CPCB of India. It was highly annoying also. Air temperature and relative humidity had little influence and the peak noise component had the most significant influence on the prevailing traffic noise level at curbside open-air microenvironment. Therefore, traffic noise level at the microenvironment of the city can be reduced with careful honking and driving.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Critical assessment of day time traffic noise level at curbside open-air microenvironment of Kolkata City, India

Chowdhury

Debsarkar

Chakrabarty

2015

J Environ Health Sci Engineer

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“…In addition, with the implementation of mentioned noise control approach, there is a possibility of further decrease in the overall noise level in the study area. The traffic congestion on the existing highways and the haulage road is expected to be reduced and subsequently the noise generated due to honking will come down by 3-5 dB(A) (Vijay et al, 2015). Thus, with this mitigation measure, the anticipated overall noise levels in the study area are within the permissible limits of CPCB and EPA as well.…”

Section: Noise Mitigationmentioning

confidence: 95%

Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping

Lokhande

Dhawale

Pathak

et al. 2017

Archives of Acoustics

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Noise mapping is a well-established practice among the European nations, and it has been follow for almost two decades. Recently, as per guidelines of the Directorate General of Mines Safety (DGMS), India, noise mapping has been made mandatory in the mining expanses. This study is an effort to map the noise levels in nearby areas of mines in the northern Keonjhar district. The motive of this study is to quantify the existing A-weighted time-average sound level (L Aeq, T ) in the study area to probe its effects on the human dwellings and noise sensitive areas with the probability of future development of the mines, roads, and industrial and commercial zone. The L Aeq, T was measured at 39 identified locations, including industrial, commercial, residential, and sensitive zones, 15 open cast mines, 3 major highways, and 3 haulage roads. With the utilisation of Predictor LimA Software and other GIS tools, the worked out data is mapped and noise contours are developed for the visualisation and identification of the extent and distribution of sound levels across the study area. This investigation discloses that the present noise level at 60% of the locations in silence and residential zone exposed to significantly high noise levels surpasses the prescribed limit of Central Pollution Control Board (CPCB), India. The observed day and night time L Aeq, T level of both zones ranged between 43.2-62.2 dB(A) and 30.5-53.4 dB(A), respectively, whereas, the average L dn values vary between 32.7 and 51.2 dB(A). The extensive mobility of heavy vehicles adjoining the sensitive areas and a nearby plethora of open cast mines is the leading cause of exceeded noise levels. The study divulges that the delicate establishments like schools and hospitals are susceptible to high noise levels throughout the day and night. A correlation between observed and software predicted values gives R 2 of 0.605 for L d , 0.217 for Ln, and 0.524 for L dn . Finally, the mitigation measure is proposed and demonstrated using a contour map showing a significant reduction in the noise levels by 0-5.3 dB(A).

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“…Thus, it would seem appropriate to strive a balance between the complexity of the problem and accuracy in final results as enunciated by King et al [53]. Eventually, adopting a comprehensive approach with inclusion of many input variables like distances, height of building, road surface type, streetaspect ratio, honking effect [54], vegetation, type of locality, presence of industries nearby [55] etc. shall be helpful in developing a practical model for Delhi roads.…”

Section: Implications Of Developed Modelsmentioning

confidence: 99%

Comparison of ANN and Analytical Models in Traffic Noise Modeling and Predictions

et al. 2015

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This paper demonstrates the applications of artificial neural networks to predict the equivalent continuous sound level (L Aeq ) and 10 Percentile exceeded sound level (L 10 ) generated due to traffic noise for various locations in Delhi. A Model based on back-propagation neural network was trained, validated, and tested using the measured data. The work shows that the model is able to produce accurate predictions of hourly traffic noise levels. A comparative study shows that neural networks out-perform the multiple linear regression models developed in terms of total traffic flow and equivalent traffic flow. The prediction model proposed in the study may serve as a vital tool for traffic noise forecasting and noise abatement measures to be undertaken for Delhi city.

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Assessment of honking impact on traffic noise in urban traffic environment of Nagpur, India

Cited by 62 publications

References 17 publications

Critical assessment of day time traffic noise level at curbside open-air microenvironment of Kolkata City, India

Critical assessment of day time traffic noise level at curbside open-air microenvironment of Kolkata City, India

Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping

Comparison of ANN and Analytical Models in Traffic Noise Modeling and Predictions

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