基于RLS90的城市道路交通噪聲預(yù)測(cè)及交通流影響因子分析
[Abstract]:With the acceleration of the urbanization process, residents' demands on the quality of life have been raised, and the noise problem of road traffic has always been in the forefront in the number of complaints and letters and visits from residents. At present, most of the research on road traffic noise is based on long-term field monitoring. There are mature prediction models in the research of traffic noise in foreign countries, but whether it is suitable for our country is still to be confirmed. Based on the German RLS90 model, this paper analyzes the urban road noise prediction and traffic flow impact factors, including the following aspects: first, the main evaluation indexes and prediction methods of urban road traffic noise are briefly introduced. The traffic noise prediction models developed abroad are analyzed, and the similarities, differences, advantages and disadvantages of each model are compared from the sound source model and the sound propagation model. Based on some sections of Yucai Road in Xi'an City, the applicability of RLS90 model was tested, and the model was modified from two aspects of vehicle classification and speed setting. Secondly, through the basic scene of soft environment and road parameters, the modified RLS90 model is used to analyze the influence of traffic flow factors on road noise, and the horizontal distance is taken into account when setting the measuring points. Vertical height and building occlusion. The results show that the traffic noise is logarithmic with the traffic volume, the ratio of the same type of vehicle has a good linear relationship, and the running speed of the same type of vehicle can be simulated as a binary linear relationship. The noise of measurement points varies with the change of horizontal distance and vertical height. Thirdly, select Cuihua Road (Xiaozhai East Road-West Yanta Road) to measure the road traffic noise, and observe and record the traffic flow factors and surrounding environmental parameters. The modified RLS90 model is used to predict the noise field distribution and noise index along the road, and the error analysis of the measured and predicted data is carried out. Fourthly, the modified RLS90 model is used to optimize and transform Cuihua Road (Xiaozhai East Road-West Yanta Road), and the effect of noise reduction on the modified section and the measuring point is analyzed. By studying the RLS90 model of road traffic noise prediction and analyzing the influence factors of road noise traffic flow, this paper provides technical support for the environmental impact assessment of newly built roads, and has certain reference value for the optimization and reconstruction of roads.
【學(xué)位授予單位】:長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:U491.91
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