| Issue |
Acta Acust.
Volume 10, 2026
|
|
|---|---|---|
| Article Number | 23 | |
| Number of page(s) | 17 | |
| Section | Hearing, Audiology and Psychoacoustics | |
| DOI | https://doi.org/10.1051/aacus/2026019 | |
| Published online | 03 April 2026 | |
Scientific Article
The effect of vehicle sound power on auditory time-to-collision estimation
1
Johannes Gutenberg-Universität Mainz, Psychologisches Institut, Section Experimental Psychology, Mainz
Germany
2
Rice University, Department of Psychological Sciences, Houston
Texas
USA
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
11
June
2025
Accepted:
18
February
2026
Abstract
To safely cross a street while a vehicle is approaching, pedestrians must estimate how long it will take for the vehicle to reach their position. Recent studies have shown that estimation of a vehicle’s arrival time (i.e., time-to-collision (TTC) estimation) is affected by the intensity of the vehicle’s sound. When presented with the same actual TTC, louder sound sources were perceived as arriving earlier than quieter sources (the so-called “intensity-arrival effect”). However, in these experiments the vehicle sound power (also referred to as source intensity) was varied from trial to trial, potentially directing participants’ attention to the intensity variation. Here, we used high fidelity acoustic simulations of approaching vehicles, to investigate whether the effect of vehicle sound power on auditory TTC estimation persists when it is varied from block to block rather than from trial to trial. Results showed a significant intensity-arrival effect for the blockwise vehicle sound power variation. However, this effect was much weaker compared to a condition where the vehicle sound power varied from trial to trial.
Key words: Time-to-contact estimation / Pedestrian safety / Auditory perception / Virtual acoustics / Intensity-arrival effect / Vehicle sound power
© The Author(s), Published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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