Development of Noise Simulation Model for Stationary and Mobile Sources: A GIS-Based Approach

Sharma, Asheesh; Vijay, Ritesh; Sardar, Veena K.; Sohony, R. A.; Gupta, Alka

doi:10.1007/s10666-009-9197-3

Cited by 13 publications

(7 citation statements)

References 7 publications

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“…[14] In this study we present that road traffic flow is considered as a noise source while sound pressure level meter is considered as a noise receiver. The distance of the road centerline and the sound pressure level is measured at each sampling point for traffic noise prediction.…”

Section: Distancementioning

confidence: 99%

Development of a traffic noise prediction model for an urban environment

2014

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The objective of this study is to develop a traffic noise model under diverse traffic conditions in metropolitan cities. The model has been developed to calculate equivalent traffic noise based on four input variables i.e. equivalent traffic flow (Q e ), equivalent vehicle speed (S e ) and distance (d) and honking (h). The traffic data is collected and statistically analyzed in three different cases for 15-min during morning and evening rush hours. Case I represents congested traffic where equivalent vehicle speed is <30 km/h while case II represents free-flowing traffic where equivalent vehicle speed is >30 km/h and case III represents calm traffic where no honking is recorded. The noise model showed better results than earlier developed noise model for Indian traffic conditions. A comparative assessment between present and earlier developed noise model has also been presented in the study. The model is validated with measured noise levels and the correlation coefficients between measured and predicted noise levels were found to be 0.75, 0.83 and 0.86 for case I, II and III respectively. The noise model performs reasonably well under different traffic conditions and could be implemented for traffic noise prediction at other region as well.

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Section: Distancementioning

confidence: 99%

Development of a traffic noise prediction model for an urban environment

2014

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“…The most common models are the American Federal Highway Administration (FHWA) model and the British Calculation of Road Traffic Noise (CRTN) model. Some of the developed models were of general nature and treated the general traffic conditions [7] while others treated specific traffic conditions such as noise during daytime [8], under interrupted traffic flow conditions [9], for stationary and mobile sources [10] and considering the impact of honking on traffic noise [11]. The various models and their performance has also been evaluated [12].…”

Section: Literature Reviewmentioning

confidence: 99%

Traffic-Generated Noise Pollution: Public Perception and Modelling Under Jordanian Conditions

Jadaan¹,

Gammoh²,

Ammoura³

et al. 2016

JTLE

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Road traffic noise along the Jordanian road network is drawing an increasing attention due to its growing magnitude and various impacts as a result of the high increase in vehicular traffic. This study investigates the issue with the aim of providing an understanding of its social impact on residents of Amman, the capital of Jordan and developing a noise level prediction model under local conditions. Thirty four sites along urban arterials, representing different characteristics, were included in the study and used for model development. Traffic noise levels were measured at the selected locations and a social survey was performed, using a predesigned questionnaire, to examine the reactions and attitudes of the neighbouring residents towards these levels of traffic noise. The results of the study revealed that the impact of traffic noise on people can cause annoyance while performing daily activities to the extent that 65% of the respondents think of moving to a quitter place, and about 54% were willing to pay for attenuation measures. The resulting prediction model incorporated variables describing traffic and site conditions. The developed model was validated by comparing it's predicted noise levels with those measured and found to be valid under local conditions. 

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“…During their study, they calibrated GIS based noise simulation with observed noise levels during day and night time. On the basis of their study, they concluded that the noise barrier and green belt can be designed to check the propagation of the noise due to traffic, industry and any new development and construction activities (Sharma et al, 2010). Tang and Wang (2007) integrated a road traffic noise model, an operational air pollution model, digital maps, an urban landscape model and a geographic information system (GIS).…”

Section: Db (A)mentioning

confidence: 99%

Evaluation and analysis of traffic noise along bus rapid transit system corridor

Mishra

Parida

Rangnekar

2010

Int. J. Environ. Sci. Technol.

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Due to increasing motorization, construction of flyovers and growth in transport network, the noise level has exceeded the prescribed limits in many Indian cities. The health implications of high noise levels are being identified as hypertension, sleeplessness, mental stress, etc. Due to this adverse effect of noise level, it is essential to assess the impact of traffic noise on residents and road users. This research is an effort to quantify and analyze the traffic noise emissions along bus rapid transit corridor in Delhi. Field measurements were carried out to understand and assess various aspects of the impact of bus rapid transit system corridor on land use and social lives of residents and road users. The present analysis presents the comparison between observed and predicted noise level at selected corridors and also describes the mitigatory measures to overcome such type of traffic noise pollution through design of noise barrier along the road and motivate people towards the use of public transport system.

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Development of Noise Simulation Model for Stationary and Mobile Sources: A GIS-Based Approach

Cited by 13 publications

References 7 publications

Development of a traffic noise prediction model for an urban environment

Development of a traffic noise prediction model for an urban environment

Traffic-Generated Noise Pollution: Public Perception and Modelling Under Jordanian Conditions

Evaluation and analysis of traffic noise along bus rapid transit system corridor

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