基于跟驰理论的道路交通噪声预测模型研究

交通噪声预测在城市交通规划和建筑设计工作中具有重要意义。本文根据我国道路交通噪声的实际观测方法,通过引入微观交通流理论,建立了一种可用于多车道混合车流等效声级和统计声级预测的动态随机模型。其核心算法是基于车辆非线性跟驰模型,依靠计算机随机模拟技术,实现对单车行驶行为的构造和仿真。算例分析和实验观测表明本文建立的模型具有较高的交通噪声预测精度和稳定性。

Research on Road Traffic Noise Prediction Model Based on Car-following Theory

The prediction on traffic noise is very significant in citys transportation plan and construction design. According to the practical observation method of road traffic noise and by using the micro traffic flow theory, a dynamic and stochastic model, which can predict equivalent noise level and statistical noise levels from complex vehicle flow on a multi-lanes road, is established in this paper. Its pivotal algorithm is to construct and simulate the running behavior of single vehicle stochastically, based on the non-linear car-following model. It is proved through the calculation and practical observation that the model has good precision and stability for predicting traffic noise.