Handout (3.5 MB)
This study seeks to provide strategic guidance to NDOT in the development of its own suite of performance metrics by conducting an inventory of available weather, mobility, traffic camera, and maintenance data. These data will be collected for select case studies from the 2020–21, 2022–23, and 2023–24 winter seasons on select Nebraska road segments. A collection of weather data from an impact-based predictive winter severity index developed for NDOT, referred to as NEWINS-Predictive (NEWINS-P), observed snowfall, and surface observations will be analyzed to provide meteorological context at the state and segment level. The road conditions along selected segments will be assessed using NDOT traffic camera images and speed data retrieved from the Regional Integrated Transportation Information System. Finally, maintenance activities along the selected road segments provided by the MDSS will be used to determine the maintenance performance.
Collectively, these data used to analyze the case studies are expected to provide insight into developing different types of maintenance performance metrics, which could allow NDOT to better understand its resource allocations during winter storms. Additionally, performance metrics can be an internal tool to enhance planning/scheduling activities and/or an external-facing tool to showcase how NDOT is serving the public. Performance tracking may also assist with decisions on longer term NDOT investments such as physical equipment, maintenance assets, and service products.
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