摘要: The rising societal emphasis on health-conscious and pleasing acoustic environments necessitates amore sophisticated approach to urban design and traffic management. To ensure effective designplanning, we require robust mathematic... 展开 The rising societal emphasis on health-conscious and pleasing acoustic environments necessitates amore sophisticated approach to urban design and traffic management. To ensure effective designplanning, we require robust mathematical models capable of accurately simulating diverse trafficenvironments, which comprise a mix of various vehicles and architectural structures. This studyconcentrates on the challenge of deriving reliable vehicle sound source directivities, which areintegral for their auralization in simulated environments, especially in an urban environment in whichbuildings and object reflections may pose a considerably stronger role than, for example, in a passbysimulation. Our solution incorporates a Bayesian Framework to optimally merge measurementsfrom a planar array on actual vehicles with numerical models in order to obtain a radiation defined ina full sphere. This leads to enhanced precision in defining vehicle sound characteristics and less worksince only a planar array is used. Additionally, it paves the way for more scalable measurements andaccurate auralization in virtual environments, thereby contributing to improved urban planning andliving spaces, a goal of the BaLSaM project, for which this work is a part of. 收起