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An efficient calculation method of large-region dynamic traffic noise maps based on hybrid modeling
Xiaodan Hong1, Dan Xia1, Wenying Zhu1
1Shanghai Academy of Environmental Sciences, Shanghai, 200233, China; Shanghai Engineering Research Center of Urban Environmental Noise Control, Shanghai, 200233, China.
This study introduces an efficient hybrid modeling method for dynamic traffic noise maps. It significantly reduces computation time, improving the efficiency of urban noise mapping and management.
Area of Science:
- Environmental acoustics
- Computational modeling
- Big data analytics
Background:
- Urban noise mapping is crucial for public health and environmental management.
- Current computational methods for noise maps are time-consuming due to complex models and large datasets.
- Inefficient noise map updates hinder large-scale application and real-time monitoring.
Purpose of the Study:
- To develop an efficient calculation method for large-region dynamic traffic noise maps.
- To improve the computational efficiency and update frequency of noise maps.
- To provide technical support for dynamic urban noise mapping.
Main Methods:
- Combined traditional CNOSSOS-EU noise emission modeling with multivariate nonlinear regression.
- Developed daily and nightly noise contribution prediction models for various road types.
- Parameterized and quantitatively evaluated noise contribution attenuations.
- Constructed a database of road noise sources, receivers, and noise attenuations.
Main Results:
- The hybrid model significantly reduced noise map computation compared to traditional acoustic models.
- Improved efficiency in noise mapping processes.
- Demonstrated the feasibility of large-region dynamic noise map construction.
Conclusions:
- The proposed hybrid modeling method enhances computational efficiency for noise mapping.
- This approach supports the development of dynamic noise maps for large urban areas.
- Offers a practical solution for real-time urban noise management and health protection.
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