The invention relates to the technical field of road noise prediction, and provides a road traffic noise prediction method based on a cellular transmission model, and the method comprises the steps: carrying out the cellular division of a road, and carrying out the homogenization of vehicles in the same cell; a motion feature data prediction model is constructed according to the vehicle exchange number of the adjacent cells and the average speed of the vehicles in the cells, motion feature data of the vehicles in the cells at the next moment are calculated according to the feature data prediction model, and the motion feature data comprise the number of the vehicles in the cells, the average speed of the vehicles and the acceleration of the vehicles; and obtaining noise data of each cell under a standard distance according to the motion characteristic data and a motor vehicle noise emission model, performing distance attenuation on the noise data of the cells under an effective distance, performing vehicle noise superposition by taking the cells as basic units, obtaining a noise value of each cell, and realizing road scale traffic noise prediction. The prediction precision problem can be effectively solved while the road traffic noise research scale is considered.
本发明涉及道路噪声预测技术领域,提出一种基于元胞传输模型的道路交通噪声预测方法,包括:将道路进行元胞态划分,对同一元胞内车辆进行同质化处理;根据相邻元胞的车辆交换数量和元胞内车辆的平均速度构建运动特征数据预测模型,根据特征数据预测模型计算下一时刻元胞内车辆的运动特征数据,所述运动特征数据包括元胞内车辆的数量、车辆的平均速度和车辆的加速度;根据运动特征数据和机动车噪声排放模型得出每个元胞在标准距离下的噪声数据,对有效距离下的元胞的噪声数据进行距离衰减,以元胞为基本单位进行车辆噪声叠加,得到每个元胞的噪音值,实现道路尺度交通噪声预测,能够在兼顾道路交通噪声研究尺度的同时有效解决预测精度问题。
Road traffic noise prediction method based on cellular transmission model
一种基于元胞传输模型的道路交通噪声预测方法
2024-12-06
Patent
Electronic Resource
Chinese
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