Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Evaluation and ANN Modelling of Traffic Noise on BRTS Corridors with Different Median Vegetation: A Case Study of Surat City (Western India)
https://orcid.org/http://orcid.org/0000-0002-8918-8112
https://orcid.org/http://orcid.org/0000-0001-8390-7414
https://orcid.org/http://orcid.org/0000-0002-7130-4410
The study focuses on traffic noise pollution propagation concerning vegetation. The study area chosen was Surat city (Gujarat). With the increasing population, the congestion in the bustling city has led to the increased importance of public transport (BRTS). Three BRTS corridors of Surat city have been selected for the study. The chosen corridors were such that there was dense, medium and no median vegetation on the three different BRTS corridors. Noise levels, as well as traffic surveys, were done on three sites during the daytime. The noise levels were found to be higher than acceptable limits given by CPCB. Noise levels were fluctuating irrespective of the simultaneous traffic count. There is an observed abatement of noise levels due to vegetation on the median of the road. A critical advantage of a vegetative barrier on the median of the road is not only based on the actual importance of noise reduction (in decibels) but may also be psychological and aesthetic purposes. Study findings show that there is significantly less noise [4.1 dB (A) less] in BRTS corridors with vegetation as compared to corridor with no vegetation. However, no significant variation in noise reduction can be seen in BRTS corridor with dense vegetation as compared to medium vegetation. For development of noise model using artificial neural network the traffic volume, vegetation dimension and distance from median vegetation were used as the input data and one output of noise level (Leq) was considered. The model's performance was tested using the coefficient of correlation (R) and mean squared error. It was observed that there was less variation in the observed and predicted noise levels, with R values ranging from 0.854 to 0.955.
Evaluation and ANN Modelling of Traffic Noise on BRTS Corridors with Different Median Vegetation: A Case Study of Surat City (Western India)
https://orcid.org/http://orcid.org/0000-0002-8918-8112
https://orcid.org/http://orcid.org/0000-0001-8390-7414
https://orcid.org/http://orcid.org/0000-0002-7130-4410
The study focuses on traffic noise pollution propagation concerning vegetation. The study area chosen was Surat city (Gujarat). With the increasing population, the congestion in the bustling city has led to the increased importance of public transport (BRTS). Three BRTS corridors of Surat city have been selected for the study. The chosen corridors were such that there was dense, medium and no median vegetation on the three different BRTS corridors. Noise levels, as well as traffic surveys, were done on three sites during the daytime. The noise levels were found to be higher than acceptable limits given by CPCB. Noise levels were fluctuating irrespective of the simultaneous traffic count. There is an observed abatement of noise levels due to vegetation on the median of the road. A critical advantage of a vegetative barrier on the median of the road is not only based on the actual importance of noise reduction (in decibels) but may also be psychological and aesthetic purposes. Study findings show that there is significantly less noise [4.1 dB (A) less] in BRTS corridors with vegetation as compared to corridor with no vegetation. However, no significant variation in noise reduction can be seen in BRTS corridor with dense vegetation as compared to medium vegetation. For development of noise model using artificial neural network the traffic volume, vegetation dimension and distance from median vegetation were used as the input data and one output of noise level (Leq) was considered. The model's performance was tested using the coefficient of correlation (R) and mean squared error. It was observed that there was less variation in the observed and predicted noise levels, with R values ranging from 0.854 to 0.955.
Evaluation and ANN Modelling of Traffic Noise on BRTS Corridors with Different Median Vegetation: A Case Study of Surat City (Western India)
https://orcid.org/http://orcid.org/0000-0002-8918-8112
https://orcid.org/http://orcid.org/0000-0001-8390-7414
https://orcid.org/http://orcid.org/0000-0002-7130-4410
The study focuses on traffic noise pollution propagation concerning vegetation. The study area chosen was Surat city (Gujarat). With the increasing population, the congestion in the bustling city has led to the increased importance of public transport (BRTS). Three BRTS corridors of Surat city have been selected for the study. The chosen corridors were such that there was dense, medium and no median vegetation on the three different BRTS corridors. Noise levels, as well as traffic surveys, were done on three sites during the daytime. The noise levels were found to be higher than acceptable limits given by CPCB. Noise levels were fluctuating irrespective of the simultaneous traffic count. There is an observed abatement of noise levels due to vegetation on the median of the road. A critical advantage of a vegetative barrier on the median of the road is not only based on the actual importance of noise reduction (in decibels) but may also be psychological and aesthetic purposes. Study findings show that there is significantly less noise [4.1 dB (A) less] in BRTS corridors with vegetation as compared to corridor with no vegetation. However, no significant variation in noise reduction can be seen in BRTS corridor with dense vegetation as compared to medium vegetation. For development of noise model using artificial neural network the traffic volume, vegetation dimension and distance from median vegetation were used as the input data and one output of noise level (Leq) was considered. The model's performance was tested using the coefficient of correlation (R) and mean squared error. It was observed that there was less variation in the observed and predicted noise levels, with R values ranging from 0.854 to 0.955.
Evaluation and ANN Modelling of Traffic Noise on BRTS Corridors with Different Median Vegetation: A Case Study of Surat City (Western India)
J. Inst. Eng. India Ser. A
Someya, K. (Autor:in) / Tandel, B. N. (Autor:in) / Ranpise, Ramesh B. (Autor:in)
Journal of The Institution of Engineers (India): Series A ; 103 ; 1325-1339
01.12.2022
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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