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Techniques for Efficient Detection of Rapid Weather Changes and Analysis of their Impacts on a Highway Network

Adverse weather conditions have a signicant impact on the safety, mobility, and eciency of highway networks. Annually, 24 percent of all crashes, more than 7,400 roadway fatalities, and over 673,000 crash related injuries were caused by adverse weather conditions between 1995 and 2005 [1]. In addition, weather contributed to 23 percent of all non-reoccurring delay and approximately 544 million vehicle hours of delay each year [2]. Nearly 2.3 billion dollars each year are spent by transportation agencies for winter maintenance that contribute to close to 20 percent of most DOTs yearly budgets [2]. These safety and mobility factors make it important to develop new and more eective methods to address road conditions during adverse weather conditions.

Project Details

Project Type: 
UTRC Research Initiative
Project Dates: 
September 1, 2016 to August 31, 2017
Principal Investigators: 
Dr. Catherine T. Lawson
Feng Chen
Institution: 
State University of New York (SUNY)
Sponsor(s): 
University Transportation Research Center (UTRC)
Publications: 
Final Report
Project Brief
Project Status: 
Complete
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