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ZENODO
Dataset . 2024
Data sources: ZENODO
ZENODO
Dataset . 2024
Data sources: Datacite
ZENODO
Dataset . 2024
Data sources: Datacite
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Dataset: "Auralization of Electric Vehicles for the Perceptual Evaluation of Acoustic Vehicle Alerting Systems"

Authors: Müller, Leon; Kropp, Wolfgang;

Dataset: "Auralization of Electric Vehicles for the Perceptual Evaluation of Acoustic Vehicle Alerting Systems"

Abstract

This repository contains audio examples and measurement data accompanying the paper: Müller L. & Kropp W. 2024. Auralization of electric vehicles for the perceptual evaluation of acoustic vehicle alerting systems. Acta Acustica, 8, 27. https://doi.org/10.1051/aacus/2024025 The Matlab code for the corresponding auralization model can be found at: https://github.com/leonpaulmueller/evat Content audio_examples.zip avas - Measured and synthesized AVAS source signals passby - Measured and auralized binaural EV passages at roadside observer position. The generated signals use the same vehicle velocity as the corresponding measurements. tire - Measured and synthesized tire/road noise source signals measurements.zip ambience - binaural ambience measurements avas - AVAS source signal measurements passby - Binaural pass-by measurements, including velocity data and isolated AVAS and tire/road noise signals tires - tire/road noise measurements For consistency with the paper, we use the following aliases for the three evaluated vehicles: Vehicle A: Tesla Model Y 2021 Vehicle B: Volkswagen ID.3 Pro Performance 2021 Vehicle C: Nissan Leaf 2018

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average