A Study on the Estimation of Winter Road Surface Conditions Using Measured Traffic Data

Abstract

This study focuses on the estimation of winter road surfaces, which are thought to have a significant effect on winter travel speed reduction, and clarifies the relationship between meteorological conditions, passing traffic and winter road surfaces. To this end, we observed weather conditions such as temperature and snowfall and traffic volume under various winter road surfaces during winter, analyzed the effects of weather conditions and passing traffic on winter road surfaces, and constructed a winter road surface estimation model. The results of the analysis show that there is a significant difference between the 15-hour cumulative snowfall and 10-minute and 7-hour cumulative traffic volumes as the road surface changes. A model for estimating three types of winter road surfaces (dry/wet, sherbet and compacted snow) was constructed with a high accuracy of 88.9%. It can be said that it is important to take traffic into parameter in the estimation of winter road surface, because the model that excludes traffic volume from the variables has a lower accuracy rate than the model that includes traffic volume.