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The importance of decarbonizing mobility to slow climate change is already a common goal worldwide. However, there is a lack of alignment on which technological routes to take. While the electrification of mobility assumes dominance in some markets, it is essential to consider specificities of each region so that different applications of transport modes can be concretely evaluated. Decarbonization Routes for Global Road Mobility and Regional Challenges discusses regional approaches, such as those from Brazil and India, that can offer more representative participation in global decarbonization processes. These routes leverage these countries’ domestic talent and regional potential instead of simply copying the solutions coming from developed countries.

Due to increasingly stringent laws regarding the level of noise emitted by motor vehicles, especially when it comes from trucks, many techniques are used to determine the main source of noise. Levels must meet the standard pass-by noise as provided by the standard ISOR362. This work applies a technique that aims to identify the main source of noise of heavy vehicles during the pass-by noise test, called Pass-by Noise Beamforming. The technique use the method known as Generalized Inverse and an array of microphones optimized for low frequencies. The paper presents the steps of validation of the system using loudspeakers and application in two trucks with distinct contributions (engine and tire noise). The results of the technique showed advantages compared to the conventional method (delay-and-sum algorithm), obtaining better separation of coherent sources with better dynamic range in a wide frequency range (50 Hz - 7 kHz).