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Development of response surface method prediction model for traffic-related roadside noise levels based on traffic characteristics

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Bibliographic Details
Main Authors: Elkafoury, Ahmed, Elboshy, Bahaa, Darwish, Ahmed Mahmoud
Format: Book
Language:English
Published: Springer 2023
Subjects:
traffic-related roadside noise
response surface method
Online Access:https://link.springer.com/article/10.1007/s11356-023-28934-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8697
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spelling oai:localhost:PNK-86972023-08-04T09:20:44Z Development of response surface method prediction model for traffic-related roadside noise levels based on traffic characteristics Elkafoury, Ahmed Elboshy, Bahaa Darwish, Ahmed Mahmoud traffic-related roadside noise response surface method CC-BY Recently, several urban areas are trying to mitigate the environmental impacts of traffic, where noise pollution is one of the main consequences. Thus, studying the determinants of traffic-related noise generation and developing a model that predicts the level of noise by controlling the influencing factors are crucial for transportation planning purposes. This research aims at utilizing the response surface method (RSM) to develop a robust statistical prediction model of traffic-related noise levels and optimize different traffic characteristics’ ranges to reduce the expected noise levels. The results indicate that the rate of Leq increase is higher at traffic flow values less than the 1204 veh/h. The interaction effect of flow-speed and flow-heavy vehicle percentage pairs shows that Leq has peak values around 45.8 km/h and 28.71%, respectively, with almost symmetric value distribution about those center points. 2023-08-04T09:20:44Z 2023-08-04T09:20:44Z 2023 Book https://link.springer.com/article/10.1007/s11356-023-28934-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8697 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic traffic-related roadside noise
response surface method
spellingShingle traffic-related roadside noise
response surface method
Elkafoury, Ahmed
Elboshy, Bahaa
Darwish, Ahmed Mahmoud
Development of response surface method prediction model for traffic-related roadside noise levels based on traffic characteristics
description CC-BY
format Book
author Elkafoury, Ahmed
Elboshy, Bahaa
Darwish, Ahmed Mahmoud
author_facet Elkafoury, Ahmed
Elboshy, Bahaa
Darwish, Ahmed Mahmoud
author_sort Elkafoury, Ahmed
title Development of response surface method prediction model for traffic-related roadside noise levels based on traffic characteristics
title_short Development of response surface method prediction model for traffic-related roadside noise levels based on traffic characteristics
title_full Development of response surface method prediction model for traffic-related roadside noise levels based on traffic characteristics
title_fullStr Development of response surface method prediction model for traffic-related roadside noise levels based on traffic characteristics
title_full_unstemmed Development of response surface method prediction model for traffic-related roadside noise levels based on traffic characteristics
title_sort development of response surface method prediction model for traffic-related roadside noise levels based on traffic characteristics
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11356-023-28934-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8697
_version_ 1773599511523885056
score 8.89252

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