Damiano Stefano, Bondi Luca, Guntoro Andre, van Waterschoot Toon
Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, Leuven, 3001 Belgium.
Robert Bosch GmbH, Robert-Bosch-Campus 1, Renningen, 71282 Germany.
EURASIP J Audio Speech Music Process. 2024;2024(1):49. doi: 10.1186/s13636-024-00372-4. Epub 2024 Oct 3.
The sound produced by vehicles driving on roadways constitutes one of the dominant noise sources in urban areas. The impact of traffic noise on human activities and the related investigation on modeling, assessment, and abatement strategies fueled the research on the simulation of the sound produced by individual passing vehicles. Simulators enable in fact to promote a perceptual assessment of the nature of traffic noise and of the impact of single road agents on the overall soundscape. In this work, we present , an open-source framework for the acoustic simulation of vehicles transiting on a road. We first discuss the generation of the sound signal produced by a vehicle, represented as a combination of road/tire interaction noise and engine noise. We then introduce a propagation model based on the use of variable length delay lines, allowing to simulate acoustic propagation and Doppler effect. The proposed simulator incorporates the effect of air absorption and ground reflection, modeled via complex-valued reflection coefficients dependent on the road surface impedance, as well as a model of the directivity of sound sources representing the passing vehicles. The source signal generation and the propagation stages are decoupled, and all effects are implemented using finite impulse response filters. Moreover, no recorded data is required to run the simulation, making the framework flexible and independent on data availability. Finally, to validate the framework capability to accurately simulate passing vehicles, a comparison between synthetic and recorded pass-by events is presented. The validation shows that sounds generated with the proposed method achieve a good match with recorded events in terms of power spectral density and psychoacoustics metrics as well as a perceptually plausible result.
车辆在道路上行驶产生的声音是城市地区主要的噪声源之一。交通噪声对人类活动的影响以及对建模、评估和减排策略的相关研究推动了对单个过往车辆产生的声音进行模拟的研究。事实上,模拟器能够促进对交通噪声的性质以及单个道路因素对整体声景的影响进行感知评估。在这项工作中,我们提出了一个用于道路上行驶车辆声学模拟的开源框架。我们首先讨论车辆产生的声音信号的生成,该信号表示为道路/轮胎相互作用噪声和发动机噪声的组合。然后,我们介绍一种基于可变长度延迟线的传播模型,该模型能够模拟声学传播和多普勒效应。所提出的模拟器纳入了空气吸收和地面反射的影响,通过依赖于路面阻抗的复值反射系数进行建模,以及代表过往车辆的声源方向性模型。源信号生成和传播阶段是解耦的,并且所有效应都使用有限脉冲响应滤波器来实现。此外,运行模拟不需要记录数据,这使得该框架具有灵活性且不依赖于数据可用性。最后,为了验证该框架准确模拟过往车辆的能力,我们给出了合成事件与记录的通过事件之间的比较。验证表明,用所提出的方法生成的声音在功率谱密度和心理声学指标方面与记录事件实现了良好匹配,并且在感知上是合理的结果。