A New Way of Assessing Winter Driving Conditions and Associated Risks
A risk-based approach aims to improve current road classification system for winter roads
Ottawa, ON (2 March 2017)
– A new study, published today in the Canadian Journal of Civil Engineering
, presents a risk-based approach for classifying the road surface conditions of a highway network under winter weather events. This approach includes an explicit account of the driving risk that a motorist may experience on a highway.
In countries like Canada that have severe winter seasons, transportation agencies often face challenges in meeting the safety and mobility needs of people on the road. To address these challenges, most agencies have a comprehensive winter maintenance program in place that includes policies, best practices, and guidelines for monitoring and reporting of road surface conditions. Typically, road surface condition information is broadcast through a traveler information portal known as 511 system or the website of the road agency. However, there is a lack of consistency in defining and determining the winter driving conditions of a highway across different transportation agencies and jurisdictions. Additionally, different terms may represent different levels of travel risk depending on the agency and location. “The main goal of our study is to develop and propose a new approach to road surface condition classification that provides consistency in the communication of the driving risk that a motorist may experience,” says Dr. Lalita Thakali, Research Associate at the University of Waterloo.
In this study, researchers from the Department of Civil & Environmental Engineering at the University of Waterloo, propose a risk-based approach for classifying road surface conditions that could be used for monitoring winter driving conditions and directing winter road maintenance operations. The researchers propose a relative risk index on the basis of the risk estimated using a collision model calibrated using detailed hourly data of weather, road surface conditions, traffic and accidents on a large number of highway sections in Ontario over six winter seasons.
The study proposed two alternative approaches to address the challenge of determining the overall condition of a highway section or route with non-uniform driving conditions. The first approach applies a risk model to estimate the relative increase in risk under a specific winter weather and road surface conditions as compared to normal conditions. The second approach involves converting different classes of road conditions observed on any given route into a single dominant class based on the relative risk between individual classes of road conditions. This could help drivers assess the road conditions of their entire trip or route.
“An ideal classification system for the public should be one that is simple, intuitive, and consistent” continues Dr. Thakali. The risk-based approach for road condition classification introduced in this research represents one step closer towards such an ideal classification system. Further research could look into the feasibility of developing a universal risk index that is applicable across different regions in Canada.
About the Journal
Published since 1974, this monthly publication is the official journal of the Canadian Society for Civil Engineering. It contains articles on environmental engineering, hydrotechnical engineering, structure engineering, construction engineering, engineering mechanics, and engineering materials, and a history of civil engineering. Contributors include recognized researchers and practitioners in industry, government, and academe. New developments in engineering design and construction are also featured.
Canadian Science Publishing publishes the NRC Research Press suite of journals but is not affiliated with the National Research Council of Canada. Papers published by Canadian Science Publishing are peer-reviewed by experts in their field. The views of the authors in no way reflect the opinions of Canadian Science Publishing. Requests for commentary about the contents of any study should be directed to the authors.