01697685

Component

Many past studies relating to winter storm events have been focused on safety and mobility over the winter season as a whole. As more granular data has become available, studies have narrowed in on specific snow or winter storm events in an attempt to better quantify the impact of adverse winter weather on safety and mobility. Up to this point, few studies have attempted to quantify roadway safety by using real-time data stemming from winter maintenance vehicles, weather data, and roadway data. This study aims to identify specific winter storm events and link these to winter maintenance operation characteristics in order to determine their effect on roadway safety. The main criteria used to quantify roadway safety include traffic volumes, crash counts, roadway conditions, snowplow passes and material spreading. A list of winter storm events was identified and populated with pertinent criteria. A Negative Binomial model is estimated to describe the relationship between crash frequency and the influencing factors. It is found that the weather and road surface condition was statistically significant in influencing the crash occurrence.

This paper was sponsored by TRB committee AH010 Standing Committee on Surface Transportation Weather.

19-03084

English

6p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References; Tables

Crash data; Crash rates; Road weather information systems; Snowstorms; Storms; Traffic safety; Winter maintenance

Data and Information Technology; Highways; Maintenance and Preservation; Operations and Traffic Management; Safety and Human Factors

Transportation Research Board Annual Meeting 2019 Paper #19-03084

TRIS, TRB, ATRI

Dec 7 2018 9:34AM