Experimental Determination of the Masking Threshold in Electric Trucks

The present study examines the masking effects of interior noise in electric trucks and its impact on the driver’s capability to perceive tonalsounds at variable frequencies and amplitudes. Noise inside the electric truck is basically driven by wind and tire sounds that mask the perceptionof other significant auditory signals. Controlled listening tests were used in this work to measure masking thresholds of various frequencies in anelectric truck cabin under different driving conditions. The methodology includes recording interior sound environments, simulating typical drivingspeeds, and measuring the ability of participants to detect tonal signals in background noise. The results provide a basis for discussion and interioracoustic challenges of electric trucks while extending the current knowledge on how noise environments in these vehicles would affect thedrivers’ perception. The research is especially important to develop sound design strategies that assure safety and comfort for electric trucks.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-01
DOI
https://doi.org/10.5281/zenodo.17036983
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Determination of the Masking Threshold in Electric Trucks

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Experimental Determination of the Masking Threshold in Electric Trucks

article en

Abstract

The present study examines the masking effects of interior noise in electric trucks and its impact on the driver’s capability to perceive tonalsounds at variable frequencies and amplitudes. Noise inside the electric truck is basically driven by wind and tire sounds that mask the perceptionof other significant auditory signals. Controlled listening tests were used in this work to measure masking thresholds of various frequencies in anelectric truck cabin under different driving conditions. The methodology includes recording interior sound environments, simulating typical drivingspeeds, and measuring the ability of participants to detect tonal signals in background noise. The results provide a basis for discussion and interioracoustic challenges of electric trucks while extending the current knowledge on how noise environments in these vehicles would affect thedrivers’ perception. The research is especially important to develop sound design strategies that assure safety and comfort for electric trucks.

Zenodo (CERN European Organization for Nuclear Research)
Technische Universität Dresden (DE)
Openalex Percentile: Top 55%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.