Psychoacoustic assessment of synthetic sounds for electric vehicles in a virtual reality experiment
Pavlo Bazilinskyy, Md Shadab Alam, Roberto Merino-Mart{\i}nez

TL;DR
This study explores how to design synthetic exterior sounds for electric vehicles that are highly noticeable yet minimally annoying, using virtual reality experiments and psychoacoustic metrics to optimize sound quality.
Contribution
It introduces a psychoacoustic approach to predict annoyance and optimize electric vehicle sounds, improving pedestrian safety and reducing noise pollution.
Findings
Psychoacoustic metrics better predict annoyance than conventional sound metrics.
Certain sound frequencies and types are more noticeable and less annoying.
The study informs standards for electric vehicle exterior sound design.
Abstract
The growing adoption of electric vehicles, known for their quieter operation compared to internal combustion engine vehicles, raises concerns about their detectability, particularly for vulnerable road users. To address this, regulations mandate the inclusion of exterior sound signals for electric vehicles, specifying minimum sound pressure levels at low speeds. These synthetic exterior sounds are often used in noisy urban environments, creating the challenge of enhancing detectability without introducing excessive noise annoyance. This study investigates the design of synthetic exterior sound signals that balance high noticeability with low annoyance. An audiovisual experiment with 14 participants was conducted using 15 virtual reality scenarios featuring a passing car. The scenarios included various sound signals, such as pure, intermittent, and complex tones at different frequencies.…
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