基于交通噪声分析的交通流状态识别方法

Traffic Flow State Identification Based on Traffic Noise Signals

摘要:

车辆行驶时的声音主要由发动机噪声、轮胎噪声、空气涡流噪声、排气噪声组成，多个车辆构成的交通噪声取决于道路的交通流状态.在分析现有交通状态识别方法和车辆声音特性的基础上提出了一种利用交通噪声的交通状态识别方法.按照车速将交通流分为自由流、饱和流和交通拥堵3种状态，对不同交通流状态下的交通噪声信号进行谱分析，以归一化的峰值频率作为特征，用支持向量机对不同的交通流状态进行识别.试验结果表明，通过交通噪声能够正确识别不同的交通流状态，具有较高的识别精度.

Abstract:

A vehicle acoustic signal is composed of engine noise, tire noise, air turbulence noise and exhaust noise. Traffic noise signals mixture of multiple vehicles’ acoustic signals is determined by the traffic state. Based on the analysis of the existing traffic state identification methods and vehicle sound characteristics, an identification method of the traffic flow state was proposed by using traffic noise signals. In accordance with the vehicle speed, traffic flow states were divided into the free flow, saturation flow and traffic jams. The spectrums of vehicle acoustic signals were analyzed for different traffic states, the normalized peak frequencies were as features, and different traffic flow states were recognized using support vector machine. The test results show that different traffic flow states can be correctly recognized with traffic noise signals with a high recognition accuracy.