Harmonizing Safety Regulations and Perception: A Simulation Methodology for AVAS System Design

2024-01-2915

06/12/2024

Event
13th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference
Authors Abstract
Content
The development of an effective Acoustic Vehicle Alerting System (AVAS) is not solely about adhering to safety regulations; it also involves crafting an auditory experience that aligns with the expectations of vulnerable road users. To achieve this, a deep understanding of the acoustic transfer function is essential, as it defines the relationship between the sound emitter (the speaker inside the vehicle) and the receiver (the vulnerable road user). Maintaining the constancy of this acoustic transfer function is paramount, as it ensures that the sound emitted by the vehicle aligns with the intended safety cues and brand identity that is defined by the car manufacturer. In this research paper, three distinct methodologies for calculating the acoustic transfer function are presented: the classical Boundary Element method, the H-Matrix BEM accelerated method, and the Ray Tracing method. Furthermore, the paper encompasses an assessment of the correlation between these methods and their impact on the overall simulation time when balanced against accuracy. The study not only focuses on the accuracy of these methodologies but also assesses their computational efficiency, a crucial aspect in real-world AVAS implementation. Additionally, the paper provides an illustrative example of a binaural listening experience at various certification positions within a simulated environment.
Meta TagsDetails
DOI
https://doi.org/10.4271/2024-01-2915
Pages
8
Citation
Calloni, M., Hadjit, R., Salvekar, P., and Musser, C., "Harmonizing Safety Regulations and Perception: A Simulation Methodology for AVAS System Design," SAE Technical Paper 2024-01-2915, 2024, https://doi.org/10.4271/2024-01-2915.
Additional Details
Publisher
Published
Jun 12
Product Code
2024-01-2915
Content Type
Technical Paper
Language
English