Roadway Ice and Snow Detection using a Novel Infrared Thermography Technology
The research aims to develop a convenient tool that is capable of conducting multi-lane roadway temperature mapping and pavement slippery condition evaluation in winter seasons. With the adoption of infrared and video cameras, the proposed technology will provide accurate and robust measures of road surface temperature and slippery conditions for winter weather severity index evaluation. The research outcomes include (1) an automated infrared-based data acquisition system and (2) a dual-sensory road temperature and slippery condition evaluation system. Furthermore, the team will evaluate the feasibility of machine learning-empowered ice/snow detection algorithms. A series of field experimental tests will be conducted to obtain sufficient real-world data with the developed prototype for technology development and performance evaluation.
Language
- English
Project
- Status: Active
- Funding: $137359
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Contract Numbers:
TPF-5(435)
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Sponsor Organizations:
Iowa Department of Transportation
800 Lincoln Way
Ames, IA United States 50010 -
Managing Organizations:
Iowa Department of Transportation
800 Lincoln Way
Ames, IA United States 50010 -
Project Managers:
Clute, Khyle
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Performing Organizations:
Center for Transportation Research and Education
2711 South Loop Drive, Suite 4700
Ames, IA United States 50010-8664 -
Principal Investigators:
Zhu, Xuan
- Start Date: 20200601
- Expected Completion Date: 20230531
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Infrared detectors; Machine learning; Slipperiness; Snow; Temperature sensors; Thermographs; Winter maintenance
- Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation;
Filing Info
- Accession Number: 01910294
- Record Type: Research project
- Source Agency: Iowa Department of Transportation
- Contract Numbers: TPF-5(435)
- Files: RIP, STATEDOT
- Created Date: Feb 28 2024 1:27PM