A Microscopic Prediction Model for Traffic Noise in Adjacent Regions to Arterial Roads

Li, Ming; Liu, Jizhou

doi:10.24425/aoa.2023.145238

Artykuł - szczegóły

Tytuł artykułu

A Microscopic Prediction Model for Traffic Noise in Adjacent Regions to Arterial Roads

Autorzy

Li Ming , Liu Jizhou

Treść / Zawartość

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DOI

10.24425/aoa.2023.145238

Warianty tytułu

Języki publikacji

Abstrakty

Traffic noise in big cities impacts the people who live and work in high-rise buildings alongside arterial roads. To determine this impact magnitude, this paper proposes and validates a microscopic level method that locally predicts the total noise level and the spectral characteristics of traffic flow in the near-road region. In the proposed method, the vehicles on the road are considered as multiple queues of moving point sound sources with ground reflection considered. To account for the flow of vehicles on the road, traffic field data, and individual vehicle noise source models are also employed. A field measurement is conducted to validate the proposed method. Results comparison shows that the predicted and the measured overall A-weighted sound pressure level and A-weighted noise spectra are within 3 dBA and 5 dBA, respectively. Based on the validated method, the spatial distribution of traffic noise near the arterial road is investigated for different traffic scenarios.

Słowa kluczowe

traffic noise arterial roads noise prediction method microscopic level

Wydawca

Instytut Podstawowych Problemów Techniki PAN
Komitet Akustyki PAN
Polskie Towarzystwo Akustyczne

Czasopismo

Archives of Acoustics

Rocznik

2023

Tom

Vol. 48, No. 3

Strony

433--449

Opis fizyczny

Bibliogr. 34 poz., rys., tab., wykr.

Twórcy

autor

Li Ming

School of Transportation Engineering, Shandong Jianzhu University Jinan, China

autor

Liu Jizhou

liujizhou20@sdjzu.edu.cn

School of Thermal Engineering, Shandong Jianzhu University Jinan, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023). (PL)

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Bibliografia

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