Study on traffic noise prediction model of highway tunnel

Yan Chen; Wandong Gu; Xin Li

doi:10.1117/12.2636667

8 May 2022 Study on traffic noise prediction model of highway tunnel

Yan Chen, Wandong Gu, Xin Li

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 1224921 (2022) https://doi.org/10.1117/12.2636667
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

Tunnel traffic noise prediction is of great significance in traffic noise. However, there is no complete traffic noise prediction standard for highway tunnel at present. This paper intends to study the traffic noise difference between the middle of multi lane tunnel and ordinary pavement through vehicle flow model and long space sound field model. The research shows that the sound pressure level in the middle of tunnel is significantly higher than that of ordinary pavement, and the difference of equivalent sound pressure level of vehicle flow is less than that of ordinary pavement due to reverberation.

Citation Download Citation

Yan Chen, Wandong Gu, and Xin Li "Study on traffic noise prediction model of highway tunnel", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 1224921 (8 May 2022); https://doi.org/10.1117/12.2636667

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