A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Validation of Road Traffic Noise Prediction Model (Stop and Go) for Road Traffic Conditions of Delhi, India
https://orcid.org/http://orcid.org/0000-0002-4126-4999
Noise exposure has been linked with numerous harmful health outcomes. The traffic volume is increasing rapidly in India. For environmentalists and town planner’s road traffic noise management always remains an exceedingly difficult job. It is important to monitor noise levels before taking any remedial measures. However, monitoring noise levels at different places is difficult. Using noise prediction models, we can solve this problem by predicting the noise levels at any location, but it is challenging to choose the model giving accurate predictions. So, while selecting a noise prediction model, validating any of the prediction models can give a better picture. The main aim of this study was to validate the noise prediction model Stop and Go using the observed data of road traffic in day and night. From the data analysis, it was established that the recorded ambient noise level in the research region exceeded the Central Pollution Control Board’s permitted standard of 45 decibels. The standard deviation between observed and predicted noise levels were found to be in the range of 0.24 to 2.17, indicating the model’s suitability and applicability in Indian traffic conditions. A t-test was also used to confirm the stop and go model’s validity and t statistical was found to be greater than t critical at a 5% level of significance.
Validation of Road Traffic Noise Prediction Model (Stop and Go) for Road Traffic Conditions of Delhi, India
https://orcid.org/http://orcid.org/0000-0002-4126-4999
Noise exposure has been linked with numerous harmful health outcomes. The traffic volume is increasing rapidly in India. For environmentalists and town planner’s road traffic noise management always remains an exceedingly difficult job. It is important to monitor noise levels before taking any remedial measures. However, monitoring noise levels at different places is difficult. Using noise prediction models, we can solve this problem by predicting the noise levels at any location, but it is challenging to choose the model giving accurate predictions. So, while selecting a noise prediction model, validating any of the prediction models can give a better picture. The main aim of this study was to validate the noise prediction model Stop and Go using the observed data of road traffic in day and night. From the data analysis, it was established that the recorded ambient noise level in the research region exceeded the Central Pollution Control Board’s permitted standard of 45 decibels. The standard deviation between observed and predicted noise levels were found to be in the range of 0.24 to 2.17, indicating the model’s suitability and applicability in Indian traffic conditions. A t-test was also used to confirm the stop and go model’s validity and t statistical was found to be greater than t critical at a 5% level of significance.
Validation of Road Traffic Noise Prediction Model (Stop and Go) for Road Traffic Conditions of Delhi, India
https://orcid.org/http://orcid.org/0000-0002-4126-4999
Noise exposure has been linked with numerous harmful health outcomes. The traffic volume is increasing rapidly in India. For environmentalists and town planner’s road traffic noise management always remains an exceedingly difficult job. It is important to monitor noise levels before taking any remedial measures. However, monitoring noise levels at different places is difficult. Using noise prediction models, we can solve this problem by predicting the noise levels at any location, but it is challenging to choose the model giving accurate predictions. So, while selecting a noise prediction model, validating any of the prediction models can give a better picture. The main aim of this study was to validate the noise prediction model Stop and Go using the observed data of road traffic in day and night. From the data analysis, it was established that the recorded ambient noise level in the research region exceeded the Central Pollution Control Board’s permitted standard of 45 decibels. The standard deviation between observed and predicted noise levels were found to be in the range of 0.24 to 2.17, indicating the model’s suitability and applicability in Indian traffic conditions. A t-test was also used to confirm the stop and go model’s validity and t statistical was found to be greater than t critical at a 5% level of significance.
Validation of Road Traffic Noise Prediction Model (Stop and Go) for Road Traffic Conditions of Delhi, India
Transp. in Dev. Econ.
Alam, Pervez (author) / Mazhar, Mohd Aamir (author) / Ahmad, Kafeel (author)
2024-10-01
Article (Journal)
Electronic Resource
English
Road traffic noise characteristics in Delhi urban area
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