A new probability statistical model for traffic noise prediction on free flow roads and control flow roads
| Autor: | Feng Li, Ming Cai, Shaoyi Stephen Liao |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical model
Basis (linear algebra) Computer science Traffic noise Monte Carlo method Transportation Statistical model 010501 environmental sciences Traffic flow 01 natural sciences Noise 0103 physical sciences Probability distribution 010301 acoustics Algorithm Simulation 0105 earth and related environmental sciences General Environmental Science Civil and Structural Engineering |
| Zdroj: | Transportation Research Part D: Transport and Environment. 49:313-322 |
| ISSN: | 1361-9209 |
| DOI: | 10.1016/j.trd.2016.10.019 |
| Popis: | A new traffic noise prediction approach based on a probability distribution model of vehicle noise emissions and achieved by Monte Carlo simulation is proposed in this paper. The probability distributions of the noise emissions of three types of vehicles are obtained using an experimental method. On this basis, a new probability statistical model for traffic noise prediction on free flow roads and control flow roads is established. The accuracy of the probability statistical model is verified by means of a comparison with the measured data, which has shown that the calculated results of Leq, L10, L50, L90, and the probability distribution of noise level occurrence agree well with the measurements. The results demonstrate that the new method can avoid the complicated process of traffic flow simulation but still maintain high accuracy for the traffic noise prediction. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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