Augmenting the Hearing of Safety-Critical Sounds for Highway Workers using Artificial Intelligence
Highway construction workers are regularly exposed to loud and complex noise environments from equipment, tools, and nearby traffic. While hearing protection equipment (HPE) is essential for preventing hearing loss, it often blocks important warning sounds—such as backup alarms or vehicle intrusion alerts—that are vital for worker safety. This tradeoff leads many workers to avoid using HPE, putting them at greater risk of both hearing damage and serious accidents. The objective of this project was to investigate a new sound filtering system for hearing protection equipment using artifical intelligence (AI) that can distinguish and attenuate undesired signals while enhancing safety-critical ones. The outcome of this research is a novel AI-Augmented Hearing Protection (AI-AHP) device, designed to address the persistent safety challenge of protecting highway construction workers exposed to loud, complex, and unpredictable noise environments. Unlike conventional hearing protection equipment that indiscriminately attenuates all sounds, the AI-AHP device introduces a transformative capability: selective noise filtering that suppresses unwanted noise while preserving or amplifying safety-critical signals, such as backup alarms and intrusion warnings.
- Record URL:
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Supplemental Notes:
- The final report is available at: https://www.trb.org/Main/Blurbs/183332.aspx
Language
- English
Project
- Funding: $140,000.00
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Contract Numbers:
Project 20-30, IDEA 247
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Sponsor Organizations:
National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001American Association of State Highway and Transportation Officials (AASHTO)
444 North Capitol Street, NW
Washington, DC United States 20001Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590Safety Innovations Deserving Exploratory Analysis (IDEA)
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001 -
Managing Organizations:
500 Fifth Street, NW
Washington, DC United States 20001 -
Project Managers:
Zelinski, Patrick
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Performing Organizations:
Clemson University
110 Lowry Hall
Box 340911
Clemson, SC United States 29634-0911 -
Principal Investigators:
Le, Tuyen
- Start Date: 20231001
- Expected Completion Date: 20250930
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Artificial intelligence; Hearing loss; Noise control; Protection; Road construction workers; Sound transmission; Work zone safety
- Subject Areas: Construction; Data and Information Technology; Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01875930
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 20-30, IDEA 247
- Files: TRB, RIP
- Created Date: Mar 20 2023 5:30PM