01623581

Component

Winter weather has a large impact on both mobility and safety nationwide. Transportation agencies rely on weather forecasts to make decisions before and during a storm but often lack quantitative tools for real-time monitoring of the storm’s impact on traffic. Crowdsourced probe vehicle data provide an outcome oriented measure that can be used to calculate the impact on traffic of storms in near-real time as well as in after action review. This paper presents a series of performance measures relating winter storm parameters to the impact on traffic. Eight storms from the 2015-2016 winter season in Indiana that vary in duration and severity as well as impact on traffic are used for a case study. Performance measures, including time to recovery after the storm, duration-normalized impact on traffic, and material usage oriented measurements are proposed.

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

01618707

17-00161

English

14p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Automatic data collection systems; Crowdsourcing; Metrics (Quantitative assessment); Probe vehicles; Real time information; Weather conditions; Winter

Indiana

Data and Information Technology; Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2017 Paper #17-00161

TRIS, TRB, ATRI

Dec 8 2016 9:58AM