Roadway Ice/Snow Detection Using a Novel Infrared Thermography Technology

Project Details
STATUS

In-Progress

PROJECT NUMBER

2020-02

START DATE

06/01/20

END DATE

05/31/22

SPONSORS

Federal Highway Administration Aurora Program Transportation Pooled Fund (TPF-5(435))

Researchers
Principal Investigator
Xuan Zhu

Assistant Professor, Department of Civil & Environmental Engineering, University of Utah

Co-Principal Investigator
Xianfeng Yang 

Assistant Professor (Transportation Engineering), Department of Civil & Environmental Engineering, University of Utah

About the research

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. 

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