基于RLS90的城市道路交通噪声预测及交通流影响因子分析

发布时间：2018-07-24 16:55

【摘要】：随着城市化进程的加快,居民对生活质量的要求不断提高,道路交通的噪声问题在居民投诉和信访数中一直位居前列。目前,国内对道路交通噪声的研究多数基于长期实地监测,国外在交通噪声问题的研究中已存在较为成熟的预测模型,但是否适用于我国仍有待确认。本文基于德国RLS90模型对城市道路噪声预测和交通流影响因子进行分析,主要包括以下几个方面:第一,简要介绍城市道路交通噪声的主要评价指标和预测方法,对国外发展较为成熟的交通噪声预测模型进行分析,并从声源模型和声传播模型两方面对比各模型的异同和优缺点。基于西安市育才路部分路段对RLS90模型的适用性进行试验,并分别从车型划分和车速设定两方面对模型修正。第二,通过软件预设弱化环境、道路等参数后的基本场景,采用修正后的RLS90模型分析各项交通流因子对道路噪声的影响,同时设置测点时考虑水平距离、垂直高度和建筑物遮挡。研究显示,交通噪声同交通量呈对数关系,同车型比有良好的线性关系,同不同车型的运行车速则可模拟为二元线性关系,且测点噪声随着水平距离和垂直高度的改变存在不同变化规律。第三,选取翠华路(小寨东路-雁塔西路段)进行道路交通噪声的实地测量,同时观察并记录各项交通流因子、周边环境参数,利用修正后的RLS90模型预测道路沿线噪声声场分布和测点噪声指标,对测点的实测和预测值进行误差分析。第四,利用修正后的RLS90模型对翠华路(小寨东路-雁塔西路段)进行优化改造,并对改造后路段及测点的降噪效果进行分析。本文通过对道路交通噪声预测RLS90模型的研究和道路噪声交通流影响因子的分析,可为新建道路的环境影响评价工作提供技术支持,并对道路优化改造具有一定参考价值。
[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.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491.91

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